Descrevendo os dados originais

Dataset statistics

Number of variables	58
Number of observations	12540
Missing cells	143561
Missing cells (%)	19.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.3 MiB
Average record size in memory	443.0 B

Variable types

Categorical	27
Numeric	24
Boolean	7

Alerts

`msg_patrocinado` has constant value "PATROCINADO"	Constant
`enable_popup` has constant value "True"	Constant
`escalonado` has constant value "False"	Constant
`_id` has a high cardinality: 12540 distinct values	High cardinality
`vencimento` has a high cardinality: 1797 distinct values	High cardinality
`taxa` has a high cardinality: 1311 distinct values	High cardinality
`emissor` has a high cardinality: 406 distinct values	High cardinality
`amortizacao` has a high cardinality: 54 distinct values	High cardinality
`carencia` has a high cardinality: 392 distinct values	High cardinality
`teq` has a high cardinality: 1703 distinct values	High cardinality
`cod_cetip` has a high cardinality: 291 distinct values	High cardinality
`qtdMinima` is highly correlated with `tipo` and 12 other fields	High correlation
`incentivada` is highly correlated with `tipo` and 6 other fields	High correlation
`juros` is highly correlated with `tipo` and 19 other fields	High correlation
`preco` is highly correlated with `tipo` and 11 other fields	High correlation
`tir` is highly correlated with `tipo` and 7 other fields	High correlation
`vir` is highly correlated with `tipo` and 8 other fields	High correlation
`dc` is highly correlated with `amortizacao` and 12 other fields	High correlation
`du` is highly correlated with `amortizacao` and 12 other fields	High correlation
`rbd` is highly correlated with `tipo` and 19 other fields	High correlation
`rbm` is highly correlated with `tipo` and 19 other fields	High correlation
`rba` is highly correlated with `tipo` and 20 other fields	High correlation
`rbp` is highly correlated with `amortizacao` and 7 other fields	High correlation
`rlp` is highly correlated with `amortizacao` and 7 other fields	High correlation
`rld` is highly correlated with `tipo` and 22 other fields	High correlation
`rlm` is highly correlated with `tipo` and 22 other fields	High correlation
`rla` is highly correlated with `tipo` and 21 other fields	High correlation
`vb` is highly correlated with `qtdMinima` and 10 other fields	High correlation
`vl` is highly correlated with `qtdMinima` and 10 other fields	High correlation
`vrl` is highly correlated with `qtdMinima` and 10 other fields	High correlation
`prlt` is highly correlated with `amortizacao` and 7 other fields	High correlation
`rpp` is highly correlated with `tipo` and 9 other fields	High correlation
`vpp` is highly correlated with `tipo` and 11 other fields	High correlation
`tt` is highly correlated with `tipo` and 20 other fields	High correlation
`am` is highly correlated with `tipo` and 14 other fields	High correlation
`total` is highly correlated with `tipo` and 19 other fields	High correlation
`avista_id` is highly correlated with `tipo` and 8 other fields	High correlation
`tipo` is highly correlated with `subtipo` and 34 other fields	High correlation
`subtipo` is highly correlated with `tipo` and 12 other fields	High correlation
`patrocinado` is highly correlated with `corretora` and 4 other fields	High correlation
`liquidez` is highly correlated with `tipo` and 26 other fields	High correlation
`qualificado` is highly correlated with `tipo` and 2 other fields	High correlation
`amortizacao` is highly correlated with `tipo` and 17 other fields	High correlation
`rating` is highly correlated with `tipo` and 23 other fields	High correlation
`agencia` is highly correlated with `tipo` and 9 other fields	High correlation
`corretora` is highly correlated with `tipo` and 30 other fields	High correlation
`nr` is highly correlated with `tipo` and 5 other fields	High correlation
`a` is highly correlated with `tipo` and 30 other fields	High correlation
`investir` is highly correlated with `corretora` and 5 other fields	High correlation
`tp_d` is highly correlated with `tipo` and 20 other fields	High correlation
`chat` is highly correlated with `liquidez` and 8 other fields	High correlation
`url` is highly correlated with `tipo` and 23 other fields	High correlation
`tp_mercado` is highly correlated with `tipo` and 14 other fields	High correlation
`idx` is highly correlated with `tipo` and 14 other fields	High correlation
`rpd` is highly correlated with `corretora` and 4 other fields	High correlation
`cores` is highly correlated with `tipo` and 30 other fields	High correlation
`logo` is highly correlated with `tipo` and 30 other fields	High correlation
`rico_tipo` is highly correlated with `tipo` and 9 other fields	High correlation
`xp_tipo` is highly correlated with `tipo` and 9 other fields	High correlation
`subtipo` has 12534 (> 99.9%) missing values	Missing
`msg_patrocinado` has 12534 (> 99.9%) missing values	Missing
`qualificado` has 6967 (55.6%) missing values	Missing
`amortizacao` has 9505 (75.8%) missing values	Missing
`carencia` has 1006 (8.0%) missing values	Missing
`rating` has 7629 (60.8%) missing values	Missing
`agencia` has 7629 (60.8%) missing values	Missing
`tp_d` has 514 (4.1%) missing values	Missing
`chat` has 304 (2.4%) missing values	Missing
`enable_popup` has 12528 (99.9%) missing values	Missing
`url` has 12265 (97.8%) missing values	Missing
`rico_tipo` has 11703 (93.3%) missing values	Missing
`xp_tipo` has 11173 (89.1%) missing values	Missing
`cod_cetip` has 12231 (97.5%) missing values	Missing
`escalonado` has 12523 (99.9%) missing values	Missing
`avista_id` has 12516 (99.8%) missing values	Missing
`vir` is highly skewed (γ1 = 22.0592276)	Skewed
`_id` is uniformly distributed	Uniform
`subtipo` is uniformly distributed	Uniform
`cod_cetip` is uniformly distributed	Uniform
`_id` has unique values	Unique
`nr` has 2426 (19.3%) zeros	Zeros
`vir` has 3446 (27.5%) zeros	Zeros

Reproduction

Analysis started	2022-09-18 18:03:59.627456
Analysis finished	2022-09-18 18:06:13.285834
Duration	2 minutes and 13.66 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

_id
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	12540
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

{'$oid': '6325e0f59491f55d25c880cb'}	1
{'$oid': '632480fb02b43e2511270e4d'}	1
{'$oid': '6320a1053f9ffef9754d8100'}	1
{'$oid': '6320a1053f9ffef9754d814d'}	1
{'$oid': '6320a1053f9ffef9754d8161'}	1
Other values (12535)	12535

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	451440
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12540 ?
Unique (%)	100.0%

Sample

1st row	{'$oid': '6325e0f59491f55d25c880cb'}
2nd row	{'$oid': '6325e0f59491f55d25c880cd'}
3rd row	{'$oid': '6325e0f59491f55d25c880c9'}
4th row	{'$oid': '6325e0f59491f55d25c880ca'}
5th row	{'$oid': '6325e0f59491f55d25c880c8'}

Common Values

Value	Count	Frequency (%)
{'$oid': '6325e0f59491f55d25c880cb'}	1	< 0.1%
{'$oid': '632480fb02b43e2511270e4d'}	1	< 0.1%
{'$oid': '6320a1053f9ffef9754d8100'}	1	< 0.1%
{'$oid': '6320a1053f9ffef9754d814d'}	1	< 0.1%
{'$oid': '6320a1053f9ffef9754d8161'}	1	< 0.1%
{'$oid': '6321f5dbf13b97c71f160671'}	1	< 0.1%
{'$oid': '6321f5dbf13b97c71f1606ac'}	1	< 0.1%
{'$oid': '6321f5dbf13b97c71f1606be'}	1	< 0.1%
{'$oid': '6321f5dbf13b97c71f1606cd'}	1	< 0.1%
{'$oid': '6321f5dbf13b97c71f1606d2'}	1	< 0.1%
Other values (12530)	12530	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
oid	12540	50.0%
632480fb02b43e2511270f8f	1	< 0.1%
62f1262520821896c213ad4a	1	< 0.1%
632480fb02b43e2511270f84	1	< 0.1%
6325e0f59491f55d25c880c9	1	< 0.1%
6325e0f59491f55d25c880ca	1	< 0.1%
6325e0f59491f55d25c880c8	1	< 0.1%
6325e0f59491f55d25c880cc	1	< 0.1%
62f1262520821896c213ad33	1	< 0.1%
62f1262520821896c213ad10	1	< 0.1%
Other values (12531)	12531	50.0%

Most occurring characters

Value	Count	Frequency (%)
'	50160	11.1%
3	27662	6.1%
6	26468	5.9%
d	25851	5.7%
2	24491	5.4%
4	22354	5.0%
f	22207	4.9%
0	21754	4.8%
5	20054	4.4%
1	19739	4.4%
Other values (14)	190700	42.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	207943	46.1%
Lowercase Letter	130637	28.9%
Other Punctuation	62700	13.9%
Space Separator	12540	2.8%
Close Punctuation	12540	2.8%
Currency Symbol	12540	2.8%
Open Punctuation	12540	2.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	27662	13.3%
6	26468	12.7%
2	24491	11.8%
4	22354	10.8%
0	21754	10.5%
5	20054	9.6%
1	19739	9.5%
8	17949	8.6%
7	16031	7.7%
9	11441	5.5%

Lowercase Letter

Value	Count	Frequency (%)
d	25851	19.8%
f	22207	17.0%
a	17837	13.7%
b	14272	10.9%
e	13061	10.0%
i	12540	9.6%
o	12540	9.6%
c	12329	9.4%

Other Punctuation

Value	Count	Frequency (%)
'	50160	80.0%
:	12540	20.0%

Space Separator

Value	Count	Frequency (%)
	12540	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	12540	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	12540	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	12540	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	320803	71.1%
Latin	130637	28.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
'	50160	15.6%
3	27662	8.6%
6	26468	8.3%
2	24491	7.6%
4	22354	7.0%
0	21754	6.8%
5	20054	6.3%
1	19739	6.2%
8	17949	5.6%
7	16031	5.0%
Other values (6)	74141	23.1%

Latin

Value	Count	Frequency (%)
d	25851	19.8%
f	22207	17.0%
a	17837	13.7%
b	14272	10.9%
e	13061	10.0%
i	12540	9.6%
o	12540	9.6%
c	12329	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	451440	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	50160	11.1%
3	27662	6.1%
6	26468	5.9%
d	25851	5.7%
2	24491	5.4%
4	22354	5.0%
f	22207	4.9%
0	21754	4.8%
5	20054	4.4%
1	19739	4.4%
Other values (14)	190700	42.2%

tipo
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

CDB	8838
LCA	1537
DEB	1052
LCI	550
CRA	310
Other values (9)	253

Length

Max length	10
Median length	3
Mean length	2.993062201
Min length	2

Characters and Unicode

Total characters	37533
Distinct characters	18
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	ATIVO REAL
2nd row	ATIVO REAL
3rd row	ATIVO REAL
4th row	ATIVO REAL
5th row	CCB

Common Values

Value	Count	Frequency (%)
CDB	8838	70.5%
LCA	1537	12.3%
DEB	1052	8.4%
LCI	550	4.4%
CRA	310	2.5%
CRI	101	0.8%
LF	82	0.7%
LC	43	0.3%
LIG	11	0.1%
RDB	8	0.1%
Other values (4)	8	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cdb	8838	70.5%
lca	1537	12.3%
deb	1052	8.4%
lci	550	4.4%
cra	310	2.5%
cri	101	0.8%
lf	82	0.7%
lc	43	0.3%
lig	11	0.1%
rdb	8	0.1%
Other values (5)	13	0.1%

Most occurring characters

Value	Count	Frequency (%)
C	11381	30.3%
B	9899	26.4%
D	9898	26.4%
L	2229	5.9%
A	1857	4.9%
E	1058	2.8%
I	667	1.8%
R	425	1.1%
F	83	0.2%
G	11	< 0.1%
Other values (8)	25	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	37528	> 99.9%
Space Separator	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	11381	30.3%
B	9899	26.4%
D	9898	26.4%
L	2229	5.9%
A	1857	4.9%
E	1058	2.8%
I	667	1.8%
R	425	1.1%
F	83	0.2%
G	11	< 0.1%
Other values (7)	20	0.1%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37528	> 99.9%
Common	5	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	11381	30.3%
B	9899	26.4%
D	9898	26.4%
L	2229	5.9%
A	1857	4.9%
E	1058	2.8%
I	667	1.8%
R	425	1.1%
F	83	0.2%
G	11	< 0.1%
Other values (7)	20	0.1%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	37533	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	11381	30.3%
B	9899	26.4%
D	9898	26.4%
L	2229	5.9%
A	1857	4.9%
E	1058	2.8%
I	667	1.8%
R	425	1.1%
F	83	0.2%
G	11	< 0.1%
Other values (8)	25	0.1%

subtipo
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	6
Distinct (%)	100.0%
Missing	12534
Missing (%)	> 99.9%
Memory size	98.1 KiB

CARTEIRA DE PRECATÓRIOS MUNICIPAIS #38/2022	1
CARTEIRA DE PRECATÓRIOS FEDERAIS ALIMENTARES #39/2022	1
CARTEIRA FEDERAL #36/2022	1
OPERAÇÃO PRECATÓRIO ESTADUAL - PE #37/2022	1
CCB - INCORPORAÇÃO IMOBILIÁRIA RESIDENCIAL - PROJETO CASA IDEAL #04/2022	1

Length

Max length	72
Median length	42.5
Mean length	45.66666667
Min length	25

Characters and Unicode

Total characters	274
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	100.0%

Sample

1st row	CARTEIRA DE PRECATÓRIOS MUNICIPAIS #38/2022
2nd row	CARTEIRA DE PRECATÓRIOS FEDERAIS ALIMENTARES #39/2022
3rd row	CARTEIRA FEDERAL #36/2022
4th row	OPERAÇÃO PRECATÓRIO ESTADUAL - PE #37/2022
5th row	CCB - INCORPORAÇÃO IMOBILIÁRIA RESIDENCIAL - PROJETO CASA IDEAL #04/2022

Common Values

Value	Count	Frequency (%)
CARTEIRA DE PRECATÓRIOS MUNICIPAIS #38/2022	1	< 0.1%
CARTEIRA DE PRECATÓRIOS FEDERAIS ALIMENTARES #39/2022	1	< 0.1%
CARTEIRA FEDERAL #36/2022	1	< 0.1%
OPERAÇÃO PRECATÓRIO ESTADUAL - PE #37/2022	1	< 0.1%
CCB - INCORPORAÇÃO IMOBILIÁRIA RESIDENCIAL - PROJETO CASA IDEAL #04/2022	1	< 0.1%
ACERVO JJ - MULHERES CONCRETAS #03/2022	1	< 0.1%
(Missing)	12534	> 99.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
	4	11.1%
carteira	3	8.3%
precatórios	2	5.6%
de	2	5.6%
ccb	1	2.8%
concretas	1	2.8%
mulheres	1	2.8%
jj	1	2.8%
acervo	1	2.8%
04/2022	1	2.8%
Other values (19)	19	52.8%

Most occurring characters

Value	Count	Frequency (%)
	30	10.9%
A	25	9.1%
E	25	9.1%
R	24	8.8%
I	19	6.9%
2	18	6.6%
C	15	5.5%
O	13	4.7%
T	10	3.6%
S	10	3.6%
Other values (25)	85	31.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	192	70.1%
Decimal Number	36	13.1%
Space Separator	30	10.9%
Other Punctuation	12	4.4%
Dash Punctuation	4	1.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	25	13.0%
E	25	13.0%
R	24	12.5%
I	19	9.9%
C	15	7.8%
O	13	6.8%
T	10	5.2%
S	10	5.2%
P	8	4.2%
D	7	3.6%
Other values (13)	36	18.8%

Decimal Number

Value	Count	Frequency (%)
2	18	50.0%
0	8	22.2%
3	5	13.9%
4	1	2.8%
8	1	2.8%
7	1	2.8%
6	1	2.8%
9	1	2.8%

Other Punctuation

Value	Count	Frequency (%)
/	6	50.0%
#	6	50.0%

Space Separator

Value	Count	Frequency (%)
	30	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	192	70.1%
Common	82	29.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	25	13.0%
E	25	13.0%
R	24	12.5%
I	19	9.9%
C	15	7.8%
O	13	6.8%
T	10	5.2%
S	10	5.2%
P	8	4.2%
D	7	3.6%
Other values (13)	36	18.8%

Common

Value	Count	Frequency (%)
	30	36.6%
2	18	22.0%
0	8	9.8%
/	6	7.3%
#	6	7.3%
3	5	6.1%
-	4	4.9%
4	1	1.2%
8	1	1.2%
7	1	1.2%
Other values (2)	2	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	266	97.1%
None	8	2.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	30	11.3%
A	25	9.4%
E	25	9.4%
R	24	9.0%
I	19	7.1%
2	18	6.8%
C	15	5.6%
O	13	4.9%
T	10	3.8%
S	10	3.8%
Other values (21)	77	28.9%

None

Value	Count	Frequency (%)
Ó	3	37.5%
Ç	2	25.0%
Ã	2	25.0%
Á	1	12.5%

vencimento
Categorical

HIGH CARDINALITY

Distinct	1797
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

365 dias	943
1096 dias	450
181 dias	448
730 dias	414
721 dias	330
Other values (1792)	9955

Length

Max length	9
Median length	8
Mean length	8.324880383
Min length	7

Characters and Unicode

Total characters	104394
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	843 ?
Unique (%)	6.7%

Sample

1st row	547 dias
2nd row	577 dias
3rd row	638 dias
4th row	790 dias
5th row	730 dias

Common Values

Value	Count	Frequency (%)
365 dias	943	7.5%
1096 dias	450	3.6%
181 dias	448	3.6%
730 dias	414	3.3%
721 dias	330	2.6%
731 dias	322	2.6%
90 dias	310	2.5%
1095 dias	265	2.1%
1080 dias	239	1.9%
1461 dias	238	1.9%
Other values (1787)	8581	68.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dias	12540	50.0%
365	943	3.8%
1096	450	1.8%
181	448	1.8%
730	414	1.7%
721	330	1.3%
731	322	1.3%
90	310	1.2%
1095	265	1.1%
1080	239	1.0%
Other values (1788)	8819	35.2%

Most occurring characters

Value	Count	Frequency (%)
	12540	12.0%
d	12540	12.0%
i	12540	12.0%
a	12540	12.0%
s	12540	12.0%
1	8212	7.9%
0	4973	4.8%
3	4766	4.6%
6	4439	4.3%
2	3974	3.8%
Other values (5)	15330	14.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50160	48.0%
Decimal Number	41694	39.9%
Space Separator	12540	12.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	8212	19.7%
0	4973	11.9%
3	4766	11.4%
6	4439	10.6%
2	3974	9.5%
7	3367	8.1%
5	3276	7.9%
9	2971	7.1%
8	2909	7.0%
4	2807	6.7%

Lowercase Letter

Value	Count	Frequency (%)
d	12540	25.0%
i	12540	25.0%
a	12540	25.0%
s	12540	25.0%

Space Separator

Value	Count	Frequency (%)
	12540	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	54234	52.0%
Latin	50160	48.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	12540	23.1%
1	8212	15.1%
0	4973	9.2%
3	4766	8.8%
6	4439	8.2%
2	3974	7.3%
7	3367	6.2%
5	3276	6.0%
9	2971	5.5%
8	2909	5.4%

Latin

Value	Count	Frequency (%)
d	12540	25.0%
i	12540	25.0%
a	12540	25.0%
s	12540	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104394	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12540	12.0%
d	12540	12.0%
i	12540	12.0%
a	12540	12.0%
s	12540	12.0%
1	8212	7.9%
0	4973	4.8%
3	4766	4.6%
6	4439	4.3%
2	3974	3.8%
Other values (5)	15330	14.7%

qtdMinima
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2768
Distinct (%)	22.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11100.64517

Minimum	0.94
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0.94
5-th percentile	204
Q1	1041.425168
median	10000
Q3	10000
95-th percentile	10000
Maximum	1000000
Range	999999.06
Interquartile range (IQR)	8958.574832

Descriptive statistics

Standard deviation	56328.58
Coefficient of variation (CV)	5.074351908
Kurtosis	216.2744177
Mean	11100.64517
Median Absolute Deviation (MAD)	5000
Skewness	14.15453596
Sum	139202090.4
Variance	3172908924
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	6143	49.0%
1000	1687	13.5%
5000	504	4.0%
20000	231	1.8%
50000	116	0.9%
500	100	0.8%
30000	71	0.6%
1	59	0.5%
50	44	0.4%
100	44	0.4%
Other values (2758)	3541	28.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.94	2	< 0.1%
0.96	1	< 0.1%
0.96038267	1	< 0.1%
0.97539553	1	< 0.1%
0.97622441	1	< 0.1%
0.97963188	1	< 0.1%
0.98206763	1	< 0.1%
0.9836834	1	< 0.1%
0.98601703	1	< 0.1%
0.98652955	1	< 0.1%

Value	Count	Frequency (%)
1000000	21	0.2%
750000	21	0.2%
500000	21	0.2%
392178.5632	1	< 0.1%
342895.7046	1	< 0.1%
250976.897	1	< 0.1%
250000	26	0.2%
209539.5283	1	< 0.1%
157803.7984	1	< 0.1%
138622.3858	1	< 0.1%

taxa
Categorical

HIGH CARDINALITY

Distinct	1311
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

IPCA +9.0%	586
15.0%	563
115.0% CDI	277
100.0% CDI	234
109.0% CDI	214
Other values (1306)	10666

Length

Max length	12
Median length	11
Mean length	8.554066986
Min length	4

Characters and Unicode

Total characters	107268
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	397 ?
Unique (%)	3.2%

Sample

1st row	236.34% CDI
2nd row	235.52% CDI
3rd row	221.5% CDI
4th row	213.0% CDI
5th row	189.0% CDI

Common Values

Value	Count	Frequency (%)
IPCA +9.0%	586	4.7%
15.0%	563	4.5%
115.0% CDI	277	2.2%
100.0% CDI	234	1.9%
109.0% CDI	214	1.7%
106.0% CDI	205	1.6%
104.0% CDI	191	1.5%
112.0% CDI	184	1.5%
102.0% CDI	160	1.3%
108.0% CDI	153	1.2%
Other values (1301)	9773	77.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cdi	4913	23.6%
ipca	3301	15.8%
9.0	586	2.8%
15.0	563	2.7%
115.0	277	1.3%
100.0	234	1.1%
109.0	214	1.0%
106.0	205	1.0%
104.0	191	0.9%
112.0	184	0.9%
Other values (1270)	10173	48.8%

Most occurring characters

Value	Count	Frequency (%)
%	12540	11.7%
.	12540	11.7%
1	10901	10.2%
0	8978	8.4%
	8301	7.7%
I	8214	7.7%
C	8214	7.7%
5	5186	4.8%
D	4913	4.6%
+	3388	3.2%
Other values (9)	24093	22.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	42556	39.7%
Uppercase Letter	27943	26.0%
Other Punctuation	25080	23.4%
Space Separator	8301	7.7%
Math Symbol	3388	3.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10901	25.6%
0	8978	21.1%
5	5186	12.2%
9	3361	7.9%
2	2848	6.7%
3	2764	6.5%
6	2467	5.8%
4	2165	5.1%
7	1974	4.6%
8	1912	4.5%

Uppercase Letter

Value	Count	Frequency (%)
I	8214	29.4%
C	8214	29.4%
D	4913	17.6%
A	3301	11.8%
P	3301	11.8%

Other Punctuation

Value	Count	Frequency (%)
%	12540	50.0%
.	12540	50.0%

Space Separator

Value	Count	Frequency (%)
	8301	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3388	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	79325	74.0%
Latin	27943	26.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
%	12540	15.8%
.	12540	15.8%
1	10901	13.7%
0	8978	11.3%
	8301	10.5%
5	5186	6.5%
+	3388	4.3%
9	3361	4.2%
2	2848	3.6%
3	2764	3.5%
Other values (4)	8518	10.7%

Latin

Value	Count	Frequency (%)
I	8214	29.4%
C	8214	29.4%
D	4913	17.6%
A	3301	11.8%
P	3301	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	107268	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
%	12540	11.7%
.	12540	11.7%
1	10901	10.2%
0	8978	8.4%
	8301	7.7%
I	8214	7.7%
C	8214	7.7%
5	5186	4.8%
D	4913	4.6%
+	3388	3.2%
Other values (9)	24093	22.5%

msg_patrocinado
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	16.7%
Missing	12534
Missing (%)	> 99.9%
Memory size	98.1 KiB

PATROCINADO	6

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	66
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PATROCINADO
2nd row	PATROCINADO
3rd row	PATROCINADO
4th row	PATROCINADO
5th row	PATROCINADO

Common Values

Value	Count	Frequency (%)
PATROCINADO	6	< 0.1%
(Missing)	12534	> 99.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
patrocinado	6	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	12	18.2%
O	12	18.2%
P	6	9.1%
T	6	9.1%
R	6	9.1%
C	6	9.1%
I	6	9.1%
N	6	9.1%
D	6	9.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	66	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	12	18.2%
O	12	18.2%
P	6	9.1%
T	6	9.1%
R	6	9.1%
C	6	9.1%
I	6	9.1%
N	6	9.1%
D	6	9.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	12	18.2%
O	12	18.2%
P	6	9.1%
T	6	9.1%
R	6	9.1%
C	6	9.1%
I	6	9.1%
N	6	9.1%
D	6	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	12	18.2%
O	12	18.2%
P	6	9.1%
T	6	9.1%
R	6	9.1%
C	6	9.1%
I	6	9.1%
N	6	9.1%
D	6	9.1%

patrocinado
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

False	12534
True	6

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	12534	> 99.9%
True	6	< 0.1%

emissor
Categorical

HIGH CARDINALITY

Distinct	406
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

SUZANO	1564
BANCO BTG PACTUAL	1213
BANCO BMG	1008
BANCO DAYCOVAL	729
BANCO PAN	587
Other values (401)	7439

Length

Max length	72
Median length	49
Mean length	12.78141946
Min length	2

Characters and Unicode

Total characters	160279
Distinct characters	50
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	180 ?
Unique (%)	1.4%

Sample

1st row	CARTEIRA DE PRECATÓRIOS MUNICIPAIS #38/2022
2nd row	CARTEIRA DE PRECATÓRIOS FEDERAIS ALIMENTARES #39/2022
3rd row	CARTEIRA FEDERAL #36/2022
4th row	OPERAÇÃO PRECATÓRIO ESTADUAL - PE #37/2022
5th row	CCB - INCORPORAÇÃO IMOBILIÁRIA RESIDENCIAL - PROJETO CASA IDEAL #04/2022

Common Values

Value	Count	Frequency (%)
SUZANO	1564	12.5%
BANCO BTG PACTUAL	1213	9.7%
BANCO BMG	1008	8.0%
BANCO DAYCOVAL	729	5.8%
BANCO PAN	587	4.7%
BANCO MODAL	499	4.0%
DE DESENVOLVIMENTO DE MINAS GERAIS	480	3.8%
BANCO ABC BRASIL	480	3.8%
BANCO ALFA	433	3.5%
BANCO PINE	317	2.5%
Other values (396)	5230	41.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
banco	8160	29.7%
suzano	1564	5.7%
btg	1213	4.4%
pactual	1213	4.4%
de	1193	4.3%
bmg	1008	3.7%
brasil	832	3.0%
daycoval	729	2.7%
pan	587	2.1%
desenvolvimento	502	1.8%
Other values (529)	10469	38.1%

Most occurring characters

Value	Count	Frequency (%)
A	23625	14.7%
O	15714	9.8%
N	15672	9.8%
	14987	9.4%
B	14166	8.8%
C	12584	7.9%
E	6888	4.3%
S	6883	4.3%
I	6771	4.2%
L	5636	3.5%
Other values (40)	37353	23.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	144478	90.1%
Space Separator	14987	9.4%
Decimal Number	381	0.2%
Other Punctuation	305	0.2%
Dash Punctuation	47	< 0.1%
Open Punctuation	38	< 0.1%
Close Punctuation	38	< 0.1%
Math Symbol	5	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	23625	16.4%
O	15714	10.9%
N	15672	10.8%
B	14166	9.8%
C	12584	8.7%
E	6888	4.8%
S	6883	4.8%
I	6771	4.7%
L	5636	3.9%
R	5472	3.8%
Other values (21)	31067	21.5%

Decimal Number

Value	Count	Frequency (%)
6	201	52.8%
2	60	15.7%
0	36	9.4%
3	25	6.6%
1	24	6.3%
5	14	3.7%
9	7	1.8%
8	6	1.6%
7	6	1.6%
4	2	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	266	87.2%
/	26	8.5%
'	7	2.3%
#	6	2.0%

Space Separator

Value	Count	Frequency (%)
	14987	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	47	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	38	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	38	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	144478	90.1%
Common	15801	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	23625	16.4%
O	15714	10.9%
N	15672	10.8%
B	14166	9.8%
C	12584	8.7%
E	6888	4.8%
S	6883	4.8%
I	6771	4.7%
L	5636	3.9%
R	5472	3.8%
Other values (21)	31067	21.5%

Common

Value	Count	Frequency (%)
	14987	94.8%
.	266	1.7%
6	201	1.3%
2	60	0.4%
-	47	0.3%
(	38	0.2%
)	38	0.2%
0	36	0.2%
/	26	0.2%
3	25	0.2%
Other values (9)	77	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160246	> 99.9%
None	33	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	23625	14.7%
O	15714	9.8%
N	15672	9.8%
	14987	9.4%
B	14166	8.8%
C	12584	7.9%
E	6888	4.3%
S	6883	4.3%
I	6771	4.2%
L	5636	3.5%
Other values (35)	37320	23.3%

None

Value	Count	Frequency (%)
Ã	9	27.3%
Ó	9	27.3%
É	8	24.2%
Ç	5	15.2%
Á	2	6.1%

liquidez
Categorical

HIGH CORRELATION

Distinct	21
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

No vencimento	8765
No Vencimento	3293
SECUNDARIO	252
D+90	96
Diária	79
Other values (16)	55

Length

Max length	20
Median length	13
Mean length	12.79617225
Min length	3

Characters and Unicode

Total characters	160464
Distinct characters	38
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.1%

Sample

1st row	No vencimento
2nd row	No vencimento
3rd row	No vencimento
4th row	No vencimento
5th row	No vencimento

Common Values

Value	Count	Frequency (%)
No vencimento	8765	69.9%
No Vencimento	3293	26.3%
SECUNDARIO	252	2.0%
D+90	96	0.8%
Diária	79	0.6%
D+180	10	0.1%
No vencimento	6	< 0.1%
D+15	5	< 0.1%
D+30	5	< 0.1%
D+360	5	< 0.1%
Other values (11)	24	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
no	12064	49.0%
vencimento	12064	49.0%
secundario	252	1.0%
d+90	96	0.4%
diária	80	0.3%
d+180	10	< 0.1%
d+720	5	< 0.1%
d+3	5	< 0.1%
d+18	5	< 0.1%
d+360	5	< 0.1%
Other values (13)	23	0.1%

Most occurring characters

Value	Count	Frequency (%)
n	24130	15.0%
o	24130	15.0%
e	24128	15.0%
N	12316	7.7%
i	12227	7.6%
	12075	7.5%
c	12066	7.5%
m	12066	7.5%
t	12064	7.5%
v	8771	5.5%
Other values (28)	6491	4.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	129837	80.9%
Uppercase Letter	18103	11.3%
Space Separator	12075	7.5%
Decimal Number	307	0.2%
Math Symbol	142	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	24130	18.6%
o	24130	18.6%
e	24128	18.6%
i	12227	9.4%
c	12066	9.3%
m	12066	9.3%
t	12064	9.3%
v	8771	6.8%
a	86	0.1%
r	82	0.1%
Other values (6)	87	0.1%

Uppercase Letter

Value	Count	Frequency (%)
N	12316	68.0%
V	3293	18.2%
D	474	2.6%
C	256	1.4%
A	252	1.4%
I	252	1.4%
R	252	1.4%
O	252	1.4%
U	252	1.4%
E	252	1.4%

Decimal Number

Value	Count	Frequency (%)
0	122	39.7%
9	96	31.3%
1	26	8.5%
8	19	6.2%
3	17	5.5%
2	9	2.9%
6	7	2.3%
7	6	2.0%
5	5	1.6%

Space Separator

Value	Count	Frequency (%)
	12075	100.0%

Math Symbol

Value	Count	Frequency (%)
+	142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	147940	92.2%
Common	12524	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	24130	16.3%
o	24130	16.3%
e	24128	16.3%
N	12316	8.3%
i	12227	8.3%
c	12066	8.2%
m	12066	8.2%
t	12064	8.2%
v	8771	5.9%
V	3293	2.2%
Other values (17)	2749	1.9%

Common

Value	Count	Frequency (%)
	12075	96.4%
+	142	1.1%
0	122	1.0%
9	96	0.8%
1	26	0.2%
8	19	0.2%
3	17	0.1%
2	9	0.1%
6	7	0.1%
7	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	160381	99.9%
None	83	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	24130	15.0%
o	24130	15.0%
e	24128	15.0%
N	12316	7.7%
i	12227	7.6%
	12075	7.5%
c	12066	7.5%
m	12066	7.5%
t	12064	7.5%
v	8771	5.5%
Other values (25)	6408	4.0%

None

Value	Count	Frequency (%)
á	80	96.4%
ê	2	2.4%
ó	1	1.2%

incentivada
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

False	9192
True	3348

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	9192	73.3%
True	3348	26.7%

qualificado
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	6967
Missing (%)	55.6%
Memory size	98.1 KiB

False	5426
True	147
(Missing)	6967

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	5426	43.3%
True	147	1.2%
(Missing)	6967	55.6%

juros
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1277
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.84182057

Minimum	0
Maximum	236.34
Zeros	17
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	5.25
Q1	9
median	13.7
Q3	100.25
95-th percentile	113
Maximum	236.34
Range	236.34
Interquartile range (IQR)	91.25

Descriptive statistics

Standard deviation	45.87722992
Coefficient of variation (CV)	1.023090261
Kurtosis	-1.545007454
Mean	44.84182057
Median Absolute Deviation (MAD)	7.6
Skewness	0.5770091296
Sum	562316.43
Variance	2104.720225
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	586	4.7%
15	563	4.5%
115	277	2.2%
100	234	1.9%
109	214	1.7%
106	205	1.6%
104	191	1.5%
112	184	1.5%
102	160	1.3%
108	153	1.2%
Other values (1267)	9773	77.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17	0.1%
0.02	1	< 0.1%
0.04	1	< 0.1%
0.07	3	< 0.1%
0.09	1	< 0.1%
0.1	2	< 0.1%
0.12	2	< 0.1%
0.14	1	< 0.1%
0.15	1	< 0.1%
0.18	3	< 0.1%

Value	Count	Frequency (%)
236.34	1	< 0.1%
235.52	1	< 0.1%
221.5	1	< 0.1%
213	1	< 0.1%
189	1	< 0.1%
163.6	1	< 0.1%
135	1	< 0.1%
128.5	1	< 0.1%
128.25	1	< 0.1%
128	1	< 0.1%

amortizacao
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	54
Distinct (%)	1.8%
Missing	9505
Missing (%)	75.8%
Memory size	98.1 KiB

Vencimento	2969
Sem Amortização	6
Anual a partir de: 17/06/2030	4
Mensal a partir de: 15/08/2024	2
Anual a partir de: 15/07/2025	2
Other values (49)	52

Length

Max length	34
Median length	10
Mean length	10.40428336
Min length	10

Characters and Unicode

Total characters	31577
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	1.5%

Sample

1st row	Vencimento
2nd row	Vencimento
3rd row	Vencimento
4th row	Vencimento
5th row	Vencimento

Common Values

Value	Count	Frequency (%)
Vencimento	2969	23.7%
Sem Amortização	6	< 0.1%
Anual a partir de: 17/06/2030	4	< 0.1%
Mensal a partir de: 15/08/2024	2	< 0.1%
Anual a partir de: 15/07/2025	2	< 0.1%
Anual a partir de: 17/05/2027	2	< 0.1%
Anual a partir de: 16/11/2028	2	< 0.1%
Anual a partir de: 17/07/2028	2	< 0.1%
Anual a partir de: 15/08/2023	1	< 0.1%
Anual a partir de: 15/10/2023	1	< 0.1%
Other values (44)	44	0.4%
(Missing)	9505	75.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vencimento	2969	90.5%
partir	60	1.8%
de	60	1.8%
a	60	1.8%
anual	43	1.3%
semestral	8	0.2%
amortização	6	0.2%
sem	6	0.2%
mensal	5	0.2%
trimestral	4	0.1%
Other values (50)	60	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	6029	19.1%
n	5986	19.0%
t	3047	9.6%
i	3039	9.6%
m	2993	9.5%
o	2981	9.4%
V	2969	9.4%
c	2969	9.4%
	246	0.8%
a	186	0.6%
Other values (25)	1132	3.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27630	87.5%
Uppercase Letter	3041	9.6%
Decimal Number	480	1.5%
Space Separator	246	0.8%
Other Punctuation	180	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6029	21.8%
n	5986	21.7%
t	3047	11.0%
i	3039	11.0%
m	2993	10.8%
o	2981	10.8%
c	2969	10.7%
a	186	0.7%
r	142	0.5%
p	60	0.2%
Other values (7)	198	0.7%

Decimal Number

Value	Count	Frequency (%)
0	124	25.8%
2	118	24.6%
1	84	17.5%
5	55	11.5%
7	22	4.6%
6	20	4.2%
3	17	3.5%
8	16	3.3%
4	14	2.9%
9	10	2.1%

Uppercase Letter

Value	Count	Frequency (%)
V	2969	97.6%
A	49	1.6%
S	14	0.5%
M	5	0.2%
T	4	0.1%

Other Punctuation

Value	Count	Frequency (%)
/	120	66.7%
:	60	33.3%

Space Separator

Value	Count	Frequency (%)
	246	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30671	97.1%
Common	906	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6029	19.7%
n	5986	19.5%
t	3047	9.9%
i	3039	9.9%
m	2993	9.8%
o	2981	9.7%
V	2969	9.7%
c	2969	9.7%
a	186	0.6%
r	142	0.5%
Other values (12)	330	1.1%

Common

Value	Count	Frequency (%)
	246	27.2%
0	124	13.7%
/	120	13.2%
2	118	13.0%
1	84	9.3%
:	60	6.6%
5	55	6.1%
7	22	2.4%
6	20	2.2%
3	17	1.9%
Other values (3)	40	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31565	> 99.9%
None	12	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6029	19.1%
n	5986	19.0%
t	3047	9.7%
i	3039	9.6%
m	2993	9.5%
o	2981	9.4%
V	2969	9.4%
c	2969	9.4%
	246	0.8%
a	186	0.6%
Other values (23)	1120	3.5%

None

Value	Count	Frequency (%)
ã	6	50.0%
ç	6	50.0%

carencia
Categorical

HIGH CARDINALITY
MISSING

Distinct	392
Distinct (%)	3.4%
Missing	1006
Missing (%)	8.0%
Memory size	98.1 KiB

Sem carência	9056
D+0	514
Vencimento	375
0	183
721 dias dias	47
Other values (387)	1359

Length

Max length	20
Median length	12
Mean length	11.08704699
Min length	1

Characters and Unicode

Total characters	127878
Distinct characters	40
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	201 ?
Unique (%)	1.7%

Sample

1st row	No vencimento
2nd row	No vencimento
3rd row	No vencimento
4th row	No vencimento
5th row	No vencimento

Common Values

Value	Count	Frequency (%)
Sem carência	9056	72.2%
D+0	514	4.1%
Vencimento	375	3.0%
0	183	1.5%
721 dias dias	47	0.4%
1080 dias	41	0.3%
1080 dias dias	37	0.3%
721	29	0.2%
1080	26	0.2%
361 dias dias	25	0.2%
Other values (382)	1201	9.6%
(Missing)	1006	8.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sem	9056	41.3%
carência	9056	41.3%
dias	1284	5.9%
d+0	514	2.3%
vencimento	404	1.8%
0	183	0.8%
1080	104	0.5%
721	99	0.5%
1440	50	0.2%
361	49	0.2%
Other values (321)	1106	5.0%

Most occurring characters

Value	Count	Frequency (%)
a	19400	15.2%
c	18507	14.5%
i	10741	8.4%
	10377	8.1%
n	9846	7.7%
e	9846	7.7%
m	9451	7.4%
r	9059	7.1%
S	9056	7.1%
ê	9056	7.1%
Other values (30)	12539	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	99310	77.7%
Space Separator	10377	8.1%
Uppercase Letter	10081	7.9%
Decimal Number	6907	5.4%
Math Symbol	519	0.4%
Other Punctuation	438	0.3%
Dash Punctuation	246	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	19400	19.5%
c	18507	18.6%
i	10741	10.8%
n	9846	9.9%
e	9846	9.9%
m	9451	9.5%
r	9059	9.1%
ê	9056	9.1%
s	1285	1.3%
d	1284	1.3%
Other values (6)	835	0.8%

Uppercase Letter

Value	Count	Frequency (%)
S	9056	89.8%
D	522	5.2%
V	384	3.8%
N	47	0.5%
O	18	0.2%
E	18	0.2%
C	9	0.1%
I	9	0.1%
M	9	0.1%
T	9	0.1%

Decimal Number

Value	Count	Frequency (%)
0	2160	31.3%
2	1274	18.4%
1	1136	16.4%
3	479	6.9%
8	397	5.7%
6	327	4.7%
9	311	4.5%
4	285	4.1%
5	281	4.1%
7	257	3.7%

Space Separator

Value	Count	Frequency (%)
	10377	100.0%

Math Symbol

Value	Count	Frequency (%)
+	519	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	438	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	246	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	109391	85.5%
Common	18487	14.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	19400	17.7%
c	18507	16.9%
i	10741	9.8%
n	9846	9.0%
e	9846	9.0%
m	9451	8.6%
r	9059	8.3%
S	9056	8.3%
ê	9056	8.3%
s	1285	1.2%
Other values (16)	3144	2.9%

Common

Value	Count	Frequency (%)
	10377	56.1%
0	2160	11.7%
2	1274	6.9%
1	1136	6.1%
+	519	2.8%
3	479	2.6%
/	438	2.4%
8	397	2.1%
6	327	1.8%
9	311	1.7%
Other values (4)	1069	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	118818	92.9%
None	9060	7.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	19400	16.3%
c	18507	15.6%
i	10741	9.0%
	10377	8.7%
n	9846	8.3%
e	9846	8.3%
m	9451	8.0%
r	9059	7.6%
S	9056	7.6%
0	2160	1.8%
Other values (27)	10375	8.7%

None

Value	Count	Frequency (%)
ê	9056	> 99.9%
á	3	< 0.1%
ó	1	< 0.1%

rating
Categorical

HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	0.5%
Missing	7629
Missing (%)	60.8%
Memory size	98.1 KiB

AAA	954
BB+	512
A	470
BBB-	416
B+	388
Other values (21)	2171

Length

Max length	6
Median length	5
Mean length	2.993280391
Min length	1

Characters and Unicode

Total characters	14700
Distinct characters	7
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	brAAA
2nd row	brAAA
3rd row	brAAA
4th row	AAA.br
5th row	brAAA

Common Values

Value	Count	Frequency (%)
AAA	954	7.6%
BB+	512	4.1%
A	470	3.7%
BBB-	416	3.3%
B+	388	3.1%
AA	377	3.0%
brAAA	333	2.7%
A-	282	2.2%
BBB+	250	2.0%
AA+	209	1.7%
Other values (16)	720	5.7%
(Missing)	7629	60.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aaa	954	19.4%
bbb	846	17.2%
a	811	16.5%
aa	663	13.5%
bb	533	10.9%
b	389	7.9%
braaa	333	6.8%
bra	165	3.4%
aaa.br	101	2.1%
braa	91	1.9%
Other values (4)	25	0.5%

Most occurring characters

Value	Count	Frequency (%)
A	6676	45.4%
B	4020	27.3%
+	1504	10.2%
-	949	6.5%
b	715	4.9%
r	715	4.9%
.	121	0.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	10696	72.8%
Math Symbol	1504	10.2%
Lowercase Letter	1430	9.7%
Dash Punctuation	949	6.5%
Other Punctuation	121	0.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	6676	62.4%
B	4020	37.6%

Lowercase Letter

Value	Count	Frequency (%)
b	715	50.0%
r	715	50.0%

Math Symbol

Value	Count	Frequency (%)
+	1504	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	949	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12126	82.5%
Common	2574	17.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	6676	55.1%
B	4020	33.2%
b	715	5.9%
r	715	5.9%

Common

Value	Count	Frequency (%)
+	1504	58.4%
-	949	36.9%
.	121	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	6676	45.4%
B	4020	27.3%
+	1504	10.2%
-	949	6.5%
b	715	4.9%
r	715	4.9%
.	121	0.8%

agencia
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	0.2%
Missing	7629
Missing (%)	60.8%
Memory size	98.1 KiB

Fitch	2992
S&P	1359
Moodys	170
FITCH	164
Moody´s	121
Other values (3)	105

Length

Max length	8
Median length	5
Mean length	4.580737121
Min length	3

Characters and Unicode

Total characters	22496
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S&P
2nd row	S&P
3rd row	S&P
4th row	Moody´s
5th row	S&P

Common Values

Value	Count	Frequency (%)
Fitch	2992	23.9%
S&P	1359	10.8%
Moodys	170	1.4%
FITCH	164	1.3%
Moody´s	121	1.0%
LFRating	71	0.6%
MOODYS	21	0.2%
Austin	13	0.1%
(Missing)	7629	60.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fitch	3156	64.3%
s&p	1359	27.7%
moodys	191	3.9%
moody´s	121	2.5%
lfrating	71	1.4%
austin	13	0.3%

Most occurring characters

Value	Count	Frequency (%)
F	3227	14.3%
t	3076	13.7%
i	3076	13.7%
c	2992	13.3%
h	2992	13.3%
S	1380	6.1%
&	1359	6.0%
P	1359	6.0%
o	582	2.6%
M	312	1.4%
Other values (18)	2141	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13843	61.5%
Uppercase Letter	7173	31.9%
Other Punctuation	1359	6.0%
Modifier Symbol	121	0.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	3227	45.0%
S	1380	19.2%
P	1359	18.9%
M	312	4.3%
C	164	2.3%
H	164	2.3%
T	164	2.3%
I	164	2.3%
L	71	1.0%
R	71	1.0%
Other values (4)	97	1.4%

Lowercase Letter

Value	Count	Frequency (%)
t	3076	22.2%
i	3076	22.2%
c	2992	21.6%
h	2992	21.6%
o	582	4.2%
s	304	2.2%
d	291	2.1%
y	291	2.1%
n	84	0.6%
a	71	0.5%
Other values (2)	84	0.6%

Other Punctuation

Value	Count	Frequency (%)
&	1359	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21016	93.4%
Common	1480	6.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	3227	15.4%
t	3076	14.6%
i	3076	14.6%
c	2992	14.2%
h	2992	14.2%
S	1380	6.6%
P	1359	6.5%
o	582	2.8%
M	312	1.5%
s	304	1.4%
Other values (16)	1716	8.2%

Common

Value	Count	Frequency (%)
&	1359	91.8%
´	121	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22375	99.5%
None	121	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	3227	14.4%
t	3076	13.7%
i	3076	13.7%
c	2992	13.4%
h	2992	13.4%
S	1380	6.2%
&	1359	6.1%
P	1359	6.1%
o	582	2.6%
M	312	1.4%
Other values (17)	2020	9.0%

None

Value	Count	Frequency (%)
´	121	100.0%

preco
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2767
Distinct (%)	22.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11011.19999

Minimum	0.94
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0.94
5-th percentile	180.049
Q1	1036.9575
median	10000
Q3	10000
95-th percentile	10000
Maximum	1000000
Range	999999.06
Interquartile range (IQR)	8963.0425

Descriptive statistics

Standard deviation	56312.14819
Coefficient of variation (CV)	5.114079141
Kurtosis	216.6178903
Mean	11011.19999
Median Absolute Deviation (MAD)	5000
Skewness	14.1703607
Sum	138080447.9
Variance	3171058033
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	6115	48.8%
1000	1757	14.0%
5000	476	3.8%
20000	221	1.8%
50000	115	0.9%
500	100	0.8%
30000	64	0.5%
1	63	0.5%
50	44	0.4%
100	44	0.4%
Other values (2757)	3541	28.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.94	2	< 0.1%
0.96	1	< 0.1%
0.96038267	1	< 0.1%
0.97539553	1	< 0.1%
0.97622441	1	< 0.1%
0.97963188	1	< 0.1%
0.98206763	1	< 0.1%
0.9836834	1	< 0.1%
0.98601703	1	< 0.1%
0.98652955	1	< 0.1%

Value	Count	Frequency (%)
1000000	21	0.2%
750000	21	0.2%
500000	21	0.2%
392178.5632	1	< 0.1%
342895.7046	1	< 0.1%
250976.897	1	< 0.1%
250000	26	0.2%
209539.5283	1	< 0.1%
157803.7984	1	< 0.1%
100000	5	< 0.1%

corretora
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

Banco Safra	6967
XP	1367
Rico	837
Nuinvest	669
Nova Futura	533
Other values (19)	2167

Length

Max length	20
Median length	11
Mean length	9.576315789
Min length	2

Characters and Unicode

Total characters	120087
Distinct characters	38
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hurst Capital
2nd row	Hurst Capital
3rd row	Hurst Capital
4th row	Hurst Capital
5th row	Hurst Capital

Common Values

Value	Count	Frequency (%)
Banco Safra	6967	55.6%
XP	1367	10.9%
Rico	837	6.7%
Nuinvest	669	5.3%
Nova Futura	533	4.3%
Ágora	514	4.1%
Ativa Investimentos	375	3.0%
modalmais	314	2.5%
Terra Investimentos	275	2.2%
Banco Daycoval	185	1.5%
Other values (14)	504	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
banco	7368	34.5%
safra	6967	32.6%
xp	1367	6.4%
rico	837	3.9%
nuinvest	669	3.1%
investimentos	656	3.1%
nova	533	2.5%
futura	533	2.5%
ágora	514	2.4%
ativa	375	1.8%
Other values (24)	1533	7.2%

Most occurring characters

Value	Count	Frequency (%)
a	25200	21.0%
o	10473	8.7%
n	9613	8.0%
r	8902	7.4%
	8812	7.3%
c	8490	7.1%
B	7475	6.2%
S	6990	5.8%
f	6990	5.8%
i	3290	2.7%
Other values (28)	23852	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	88762	73.9%
Uppercase Letter	22513	18.7%
Space Separator	8812	7.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	25200	28.4%
o	10473	11.8%
n	9613	10.8%
r	8902	10.0%
c	8490	9.6%
f	6990	7.9%
i	3290	3.7%
t	3276	3.7%
e	2515	2.8%
v	2462	2.8%
Other values (9)	7551	8.5%

Uppercase Letter

Value	Count	Frequency (%)
B	7475	33.2%
S	6990	31.0%
P	1521	6.8%
X	1367	6.1%
N	1202	5.3%
R	843	3.7%
I	799	3.5%
F	557	2.5%
Á	514	2.3%
A	399	1.8%
Other values (8)	846	3.8%

Space Separator

Value	Count	Frequency (%)
	8812	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	111275	92.7%
Common	8812	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	25200	22.6%
o	10473	9.4%
n	9613	8.6%
r	8902	8.0%
c	8490	7.6%
B	7475	6.7%
S	6990	6.3%
f	6990	6.3%
i	3290	3.0%
t	3276	2.9%
Other values (27)	20576	18.5%

Common

Value	Count	Frequency (%)
	8812	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119440	99.5%
None	647	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	25200	21.1%
o	10473	8.8%
n	9613	8.0%
r	8902	7.5%
	8812	7.4%
c	8490	7.1%
B	7475	6.3%
S	6990	5.9%
f	6990	5.9%
i	3290	2.8%
Other values (25)	23205	19.4%

None

Value	Count	Frequency (%)
Á	514	79.4%
Ó	123	19.0%
ú	10	1.5%

nr
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.36275917

Minimum	0
Maximum	25
Zeros	2426
Zeros (%)	19.3%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	12
median	23
Q3	25
95-th percentile	25
Maximum	25
Range	25
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.483136794
Coefficient of variation (CV)	0.5461768317
Kurtosis	-0.6253925903
Mean	17.36275917
Median Absolute Deviation (MAD)	2
Skewness	-0.9626859936
Sum	217729
Variance	89.92988345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
25	4940	39.4%
0	2426	19.3%
12	1220	9.7%
23	920	7.3%
19	779	6.2%
24	738	5.9%
15	514	4.1%
16	386	3.1%
20	181	1.4%
21	160	1.3%
Other values (4)	276	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2426	19.3%
12	1220	9.7%
13	26	0.2%
15	514	4.1%
16	386	3.1%
17	108	0.9%
18	62	0.5%
19	779	6.2%
20	181	1.4%
21	160	1.3%

Value	Count	Frequency (%)
25	4940	39.4%
24	738	5.9%
23	920	7.3%
22	80	0.6%
21	160	1.3%
20	181	1.4%
19	779	6.2%
18	62	0.5%
17	108	0.9%
16	386	3.1%

a
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

Safra	6967
XP	1367
Rico	837
Nuinvest	669
Nova Futura	533
Other values (19)	2167

Length

Max length	19
Median length	5
Mean length	6.236124402
Min length	2

Characters and Unicode

Total characters	78201
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hurst Capital
2nd row	Hurst Capital
3rd row	Hurst Capital
4th row	Hurst Capital
5th row	Hurst Capital

Common Values

Value	Count	Frequency (%)
Safra	6967	55.6%
XP	1367	10.9%
Rico	837	6.7%
Nuinvest	669	5.3%
Nova Futura	533	4.3%
Ágora	514	4.1%
Ativa Investimentos	375	3.0%
modalmais	314	2.5%
Terra Investimentos	275	2.2%
Banco Daycoval	185	1.5%
Other values (14)	504	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
safra	6967	48.5%
xp	1367	9.5%
rico	837	5.8%
nuinvest	669	4.7%
investimentos	650	4.5%
nova	533	3.7%
futura	533	3.7%
ágora	514	3.6%
banco	401	2.8%
ativa	375	2.6%
Other values (24)	1533	10.7%

Most occurring characters

Value	Count	Frequency (%)
a	18233	23.3%
r	8902	11.4%
S	6990	8.9%
f	6990	8.9%
o	3500	4.5%
i	3284	4.2%
t	3264	4.2%
n	2634	3.4%
e	2503	3.2%
v	2456	3.1%
Other values (27)	19445	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	60822	77.8%
Uppercase Letter	15540	19.9%
Space Separator	1839	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18233	30.0%
r	8902	14.6%
f	6990	11.5%
o	3500	5.8%
i	3284	5.4%
t	3264	5.4%
n	2634	4.3%
e	2503	4.1%
v	2456	4.0%
s	2365	3.9%
Other values (9)	6691	11.0%

Uppercase Letter

Value	Count	Frequency (%)
S	6990	45.0%
P	1521	9.8%
X	1367	8.8%
N	1202	7.7%
R	843	5.4%
I	793	5.1%
F	557	3.6%
Á	514	3.3%
B	508	3.3%
A	399	2.6%
Other values (7)	846	5.4%

Space Separator

Value	Count	Frequency (%)
	1839	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76362	97.6%
Common	1839	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18233	23.9%
r	8902	11.7%
S	6990	9.2%
f	6990	9.2%
o	3500	4.6%
i	3284	4.3%
t	3264	4.3%
n	2634	3.4%
e	2503	3.3%
v	2456	3.2%
Other values (26)	17606	23.1%

Common

Value	Count	Frequency (%)
	1839	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77677	99.3%
None	524	0.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	18233	23.5%
r	8902	11.5%
S	6990	9.0%
f	6990	9.0%
o	3500	4.5%
i	3284	4.2%
t	3264	4.2%
n	2634	3.4%
e	2503	3.2%
v	2456	3.2%
Other values (25)	18921	24.4%

None

Value	Count	Frequency (%)
Á	514	98.1%
ú	10	1.9%

investir
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.4 KiB

False	12417
True	123

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	12417	99.0%
True	123	1.0%

tp_d
Categorical

HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	514
Missing (%)	4.1%
Memory size	98.1 KiB

Banco	7302
Corretora	3313
Distribuidora	712
Nuinvest	669
Financeira	24

Length

Max length	13
Median length	5
Mean length	6.753450856
Min length	5

Characters and Unicode

Total characters	81217
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fintech
2nd row	Fintech
3rd row	Fintech
4th row	Fintech
5th row	Fintech

Common Values

Value	Count	Frequency (%)
Banco	7302	58.2%
Corretora	3313	26.4%
Distribuidora	712	5.7%
Nuinvest	669	5.3%
Financeira	24	0.2%
Fintech	6	< 0.1%
(Missing)	514	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
banco	7302	60.7%
corretora	3313	27.5%
distribuidora	712	5.9%
nuinvest	669	5.6%
financeira	24	0.2%
fintech	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	14640	18.0%
r	11387	14.0%
a	11375	14.0%
n	8025	9.9%
c	7332	9.0%
B	7302	9.0%
t	4700	5.8%
e	4012	4.9%
C	3313	4.1%
i	2859	3.5%
Other values (9)	6272	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	69191	85.2%
Uppercase Letter	12026	14.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	14640	21.2%
r	11387	16.5%
a	11375	16.4%
n	8025	11.6%
c	7332	10.6%
t	4700	6.8%
e	4012	5.8%
i	2859	4.1%
u	1381	2.0%
s	1381	2.0%
Other values (4)	2099	3.0%

Uppercase Letter

Value	Count	Frequency (%)
B	7302	60.7%
C	3313	27.5%
D	712	5.9%
N	669	5.6%
F	30	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	81217	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	14640	18.0%
r	11387	14.0%
a	11375	14.0%
n	8025	9.9%
c	7332	9.0%
B	7302	9.0%
t	4700	5.8%
e	4012	4.9%
C	3313	4.1%
i	2859	3.5%
Other values (9)	6272	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	81217	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	14640	18.0%
r	11387	14.0%
a	11375	14.0%
n	8025	9.9%
c	7332	9.0%
B	7302	9.0%
t	4700	5.8%
e	4012	4.9%
C	3313	4.1%
i	2859	3.5%
Other values (9)	6272	7.7%

chat
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	304
Missing (%)	2.4%
Memory size	98.1 KiB

False	11383
True	853
(Missing)	304

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	11383	90.8%
True	853	6.8%
(Missing)	304	2.4%

enable_popup
Boolean

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	8.3%
Missing	12528
Missing (%)	99.9%
Memory size	98.1 KiB

True	12
(Missing)	12528

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	12	0.1%
(Missing)	12528	99.9%

url
Categorical

HIGH CORRELATION
MISSING

Distinct	14
Distinct (%)	5.1%
Missing	12265
Missing (%)	97.8%
Memory size	98.1 KiB

https://cadastro.ativainvestimentos.com.br/?utm_source=apprendafixa&utm_medium=email&utm_campaign=debenture_2508	252
https://bit.ly/3gcKY8b	11
https://hurst.capital/operation/960dfe3e-e7a3-4d77-bc61-f5dcf40cdb12	1
https://hurst.capital/operation/0e0349ff-81f5-4a71-ace1-ea50c5aa9731	1
https://hurst.capital/operation/97294719-f536-4c72-8a6d-3fb12841f10f	1
Other values (9)	9

Length

Max length	112
Median length	112
Mean length	105.8909091
Min length	22

Characters and Unicode

Total characters	29120
Distinct characters	43
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	4.4%

Sample

1st row	https://hurst.capital/operation/960dfe3e-e7a3-4d77-bc61-f5dcf40cdb12
2nd row	https://hurst.capital/operation/0e0349ff-81f5-4a71-ace1-ea50c5aa9731
3rd row	https://hurst.capital/operation/97294719-f536-4c72-8a6d-3fb12841f10f
4th row	https://hurst.capital/operation/3550baf5-a7a1-4b4e-91f0-158ddda60971
5th row	https://hurst.capital/operation/60350e38-8cb4-4fa3-83d3-25cd18491474

Common Values

Value	Count	Frequency (%)
https://cadastro.ativainvestimentos.com.br/?utm_source=apprendafixa&utm_medium=email&utm_campaign=debenture_2508	252	2.0%
https://bit.ly/3gcKY8b	11	0.1%
https://hurst.capital/operation/960dfe3e-e7a3-4d77-bc61-f5dcf40cdb12	1	< 0.1%
https://hurst.capital/operation/0e0349ff-81f5-4a71-ace1-ea50c5aa9731	1	< 0.1%
https://hurst.capital/operation/97294719-f536-4c72-8a6d-3fb12841f10f	1	< 0.1%
https://hurst.capital/operation/3550baf5-a7a1-4b4e-91f0-158ddda60971	1	< 0.1%
https://hurst.capital/operation/60350e38-8cb4-4fa3-83d3-25cd18491474	1	< 0.1%
https://hurst.capital/operation/73620874-ecac-431d-862a-8f542c225b09	1	< 0.1%
https://bancorci.onelink.me/J1lr/a944407e	1	< 0.1%
https://bancorci.onelink.me/J1lr/a5dbb6eb	1	< 0.1%
Other values (4)	4	< 0.1%
(Missing)	12265	97.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://cadastro.ativainvestimentos.com.br/?utm_source=apprendafixa&utm_medium=email&utm_campaign=debenture_2508	252	91.6%
https://bit.ly/3gcky8b	11	4.0%
https://hurst.capital/operation/960dfe3e-e7a3-4d77-bc61-f5dcf40cdb12	1	0.4%
https://hurst.capital/operation/0e0349ff-81f5-4a71-ace1-ea50c5aa9731	1	0.4%
https://hurst.capital/operation/97294719-f536-4c72-8a6d-3fb12841f10f	1	0.4%
https://hurst.capital/operation/3550baf5-a7a1-4b4e-91f0-158ddda60971	1	0.4%
https://hurst.capital/operation/60350e38-8cb4-4fa3-83d3-25cd18491474	1	0.4%
https://hurst.capital/operation/73620874-ecac-431d-862a-8f542c225b09	1	0.4%
https://bancorci.onelink.me/j1lr/a944407e	1	0.4%
https://bancorci.onelink.me/j1lr/a5dbb6eb	1	0.4%
Other values (4)	4	1.5%

Most occurring characters

Value	Count	Frequency (%)
t	2595	8.9%
a	2562	8.8%
e	2300	7.9%
m	2274	7.8%
i	1799	6.2%
u	1518	5.2%
s	1289	4.4%
n	1284	4.4%
r	1284	4.4%
c	1049	3.6%
Other values (33)	11166	38.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23458	80.6%
Other Punctuation	2653	9.1%
Decimal Number	1193	4.1%
Connector Punctuation	1008	3.5%
Math Symbol	756	2.6%
Uppercase Letter	28	0.1%
Dash Punctuation	24	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2595	11.1%
a	2562	10.9%
e	2300	9.8%
m	2274	9.7%
i	1799	7.7%
u	1518	6.5%
s	1289	5.5%
n	1284	5.5%
r	1284	5.5%
c	1049	4.5%
Other values (12)	5504	23.5%

Decimal Number

Value	Count	Frequency (%)
8	277	23.2%
0	270	22.6%
5	266	22.3%
2	264	22.1%
3	27	2.3%
1	24	2.0%
4	21	1.8%
7	18	1.5%
6	14	1.2%
9	12	1.0%

Other Punctuation

Value	Count	Frequency (%)
/	837	31.5%
.	785	29.6%
&	504	19.0%
:	275	10.4%
?	252	9.5%

Uppercase Letter

Value	Count	Frequency (%)
K	11	39.3%
Y	11	39.3%
J	6	21.4%

Connector Punctuation

Value	Count	Frequency (%)
_	1008	100.0%

Math Symbol

Value	Count	Frequency (%)
=	756	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23486	80.7%
Common	5634	19.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2595	11.0%
a	2562	10.9%
e	2300	9.8%
m	2274	9.7%
i	1799	7.7%
u	1518	6.5%
s	1289	5.5%
n	1284	5.5%
r	1284	5.5%
c	1049	4.5%
Other values (15)	5532	23.6%

Common

Value	Count	Frequency (%)
_	1008	17.9%
/	837	14.9%
.	785	13.9%
=	756	13.4%
&	504	8.9%
8	277	4.9%
:	275	4.9%
0	270	4.8%
5	266	4.7%
2	264	4.7%
Other values (8)	392	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	2595	8.9%
a	2562	8.8%
e	2300	7.9%
m	2274	7.8%
i	1799	6.2%
u	1518	5.2%
s	1289	4.4%
n	1284	4.4%
r	1284	4.4%
c	1049	3.6%
Other values (33)	11166	38.3%

tp_mercado
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

P	9025
S	3515

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12540
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	P
2nd row	P
3rd row	P
4th row	P
5th row	P

Common Values

Value	Count	Frequency (%)
P	9025	72.0%
S	3515	28.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
p	9025	72.0%
s	3515	28.0%

Most occurring characters

Value	Count	Frequency (%)
P	9025	72.0%
S	3515	28.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	12540	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	9025	72.0%
S	3515	28.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12540	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	9025	72.0%
S	3515	28.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12540	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	9025	72.0%
S	3515	28.0%

tir
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

15.0	4678
0.0	3441
17.5	2135
20.0	1145
22.5	1141

Length

Max length	4
Median length	4
Mean length	3.725598086
Min length	3

Characters and Unicode

Total characters	46719
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	17.5
4th row	0.0
5th row	15.0

Common Values

Value	Count	Frequency (%)
15.0	4678	37.3%
0.0	3441	27.4%
17.5	2135	17.0%
20.0	1145	9.1%
22.5	1141	9.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
15.0	4678	37.3%
0.0	3441	27.4%
17.5	2135	17.0%
20.0	1145	9.1%
22.5	1141	9.1%

Most occurring characters

Value	Count	Frequency (%)
0	13850	29.6%
.	12540	26.8%
5	7954	17.0%
1	6813	14.6%
2	3427	7.3%
7	2135	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	34179	73.2%
Other Punctuation	12540	26.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	13850	40.5%
5	7954	23.3%
1	6813	19.9%
2	3427	10.0%
7	2135	6.2%

Other Punctuation

Value	Count	Frequency (%)
.	12540	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	46719	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	13850	29.6%
.	12540	26.8%
5	7954	17.0%
1	6813	14.6%
2	3427	7.3%
7	2135	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46719	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	13850	29.6%
.	12540	26.8%
5	7954	17.0%
1	6813	14.6%
2	3427	7.3%
7	2135	4.6%

vir
Real number (ℝ_≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct	5408
Distinct (%)	43.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	327.3002671

Minimum	0
Maximum	54299.22
Zeros	3446
Zeros (%)	27.5%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	57.155
Q3	352.2525
95-th percentile	1170.674
Maximum	54299.22
Range	54299.22
Interquartile range (IQR)	352.2525

Descriptive statistics

Standard deviation	1325.667188
Coefficient of variation (CV)	4.050308911
Kurtosis	645.3655006
Mean	327.3002671
Median Absolute Deviation (MAD)	57.155
Skewness	22.0592276
Sum	4104345.35
Variance	1757393.494
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3446	27.5%
0.06	81	0.6%
0.05	80	0.6%
253.12	70	0.6%
0.03	70	0.6%
0.04	50	0.4%
0.08	39	0.3%
0.02	36	0.3%
0.01	31	0.2%
255.67	30	0.2%
Other values (5398)	8607	68.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3446	27.5%
0.01	31	0.2%
0.02	36	0.3%
0.03	70	0.6%
0.04	50	0.4%
0.05	80	0.6%
0.06	81	0.6%
0.07	21	0.2%
0.08	39	0.3%
0.09	12	0.1%

Value	Count	Frequency (%)
54299.22	1	< 0.1%
45791.13	1	< 0.1%
42861.49	1	< 0.1%
40436.1	1	< 0.1%
34158.98	1	< 0.1%
31964.5	1	< 0.1%
31423.98	1	< 0.1%
30028.51	1	< 0.1%
26765.55	1	< 0.1%
24630.8	1	< 0.1%

dc
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1797
Distinct (%)	14.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	978.7117225

Minimum	30
Maximum	8765
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	30
5-th percentile	90
Q1	365
median	730
Q3	1381.25
95-th percentile	2589.05
Maximum	8765
Range	8735
Interquartile range (IQR)	1016.25

Descriptive statistics

Standard deviation	922.3521654
Coefficient of variation (CV)	0.9424145479
Kurtosis	10.21786063
Mean	978.7117225
Median Absolute Deviation (MAD)	370
Skewness	2.439257558
Sum	12273045
Variance	850733.5171
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	943	7.5%
1096	450	3.6%
181	448	3.6%
730	414	3.3%
721	330	2.6%
731	322	2.6%
90	310	2.5%
1095	265	2.1%
1080	239	1.9%
1461	238	1.9%
Other values (1787)	8581	68.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	69	0.6%
31	30	0.2%
32	31	0.2%
33	1	< 0.1%
35	3	< 0.1%
40	1	< 0.1%
48	1	< 0.1%
60	101	0.8%
61	34	0.3%
62	18	0.1%

Value	Count	Frequency (%)
8765	1	< 0.1%
8613	1	< 0.1%
8522	2	< 0.1%
7949	1	< 0.1%
7948	1	< 0.1%
7944	1	< 0.1%
7943	1	< 0.1%
7942	1	< 0.1%
7940	1	< 0.1%
7937	1	< 0.1%

du
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1549
Distinct (%)	12.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	672.273764

Minimum	20
Maximum	6028
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	20
5-th percentile	61
Q1	251
median	501
Q3	949
95-th percentile	1779.05
Maximum	6028
Range	6008
Interquartile range (IQR)	698

Descriptive statistics

Standard deviation	634.4138864
Coefficient of variation (CV)	0.943683839
Kurtosis	10.21313161
Mean	672.273764
Median Absolute Deviation (MAD)	255
Skewness	2.438516713
Sum	8430313
Variance	402480.9793
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
251	1095	8.7%
501	521	4.2%
124	397	3.2%
502	344	2.7%
753	288	2.3%
752	288	2.3%
61	286	2.3%
754	282	2.2%
742	272	2.2%
1005	238	1.9%
Other values (1539)	8529	68.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	35	0.3%
21	75	0.6%
22	16	0.1%
23	5	< 0.1%
24	3	< 0.1%
27	1	< 0.1%
32	1	< 0.1%
40	68	0.5%
41	30	0.2%
42	50	0.4%

Value	Count	Frequency (%)
6028	1	< 0.1%
5921	1	< 0.1%
5859	2	< 0.1%
5467	1	< 0.1%
5466	1	< 0.1%
5464	1	< 0.1%
5463	1	< 0.1%
5462	1	< 0.1%
5460	1	< 0.1%
5459	1	< 0.1%

rbd
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1634
Distinct (%)	13.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.05284976874

Minimum	0
Maximum	0.120032
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.0422772
Q1	0.048932
median	0.053269
Q3	0.05739
95-th percentile	0.067423
Maximum	0.120032
Range	0.120032
Interquartile range (IQR)	0.008458

Descriptive statistics

Standard deviation	0.00931271235
Coefficient of variation (CV)	0.1762110331
Kurtosis	13.65684801
Mean	0.05284976874
Median Absolute Deviation (MAD)	0.004121
Skewness	-2.362668719
Sum	662.7361
Variance	8.672661132 × 10^-5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.067423	586	4.7%
0.055476	563	4.5%
0.058406	277	2.2%
0.050788	262	2.1%
0.055359	214	1.7%
0.053835	205	1.6%
0.05282	191	1.5%
0.056883	184	1.5%
0.051804	160	1.3%
0.054851	153	1.2%
Other values (1624)	9745	77.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.1%
1 × 10^-5	1	< 0.1%
3.6 × 10^-5	3	< 0.1%
6.1 × 10^-5	2	< 0.1%
0.000137	1	< 0.1%
0.000163	3	< 0.1%
0.000269	6	< 0.1%
0.000274	1	< 0.1%
0.000279	1	< 0.1%
0.000289	9	0.1%

Value	Count	Frequency (%)
0.120032	1	< 0.1%
0.119616	1	< 0.1%
0.112496	1	< 0.1%
0.108179	1	< 0.1%
0.095989	1	< 0.1%
0.083089	1	< 0.1%
0.074421	1	< 0.1%
0.074275	1	< 0.1%
0.07285	14	0.1%
0.072779	1	< 0.1%

rbm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1534
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.115916722

Minimum	0
Maximum	2.5512
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.891565
Q1	1.0326
median	1.12465
Q3	1.2121
95-th percentile	1.4255
Maximum	2.5512
Range	2.5512
Interquartile range (IQR)	0.1795

Descriptive statistics

Standard deviation	0.1972144266
Coefficient of variation (CV)	0.1767286237
Kurtosis	13.51557058
Mean	1.115916722
Median Absolute Deviation (MAD)	0.08745
Skewness	-2.334444068
Sum	13993.5957
Variance	0.03889353005
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.4255	586	4.7%
1.1715	566	4.5%
1.2337	277	2.2%
1.072	262	2.1%
1.169	214	1.7%
1.1366	205	1.6%
1.1151	191	1.5%
1.2014	184	1.5%
1.0935	169	1.3%
1.1582	153	1.2%
Other values (1524)	9733	77.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.1%
0.0002	1	< 0.1%
0.0007	3	< 0.1%
0.0013	2	< 0.1%
0.0029	1	< 0.1%
0.0034	3	< 0.1%
0.0057	6	< 0.1%
0.0058	1	< 0.1%
0.0059	1	< 0.1%
0.0061	9	0.1%

Value	Count	Frequency (%)
2.5512	1	< 0.1%
2.5422	1	< 0.1%
2.3892	1	< 0.1%
2.2965	1	< 0.1%
2.0352	1	< 0.1%
1.7594	1	< 0.1%
1.5745	1	< 0.1%
1.5714	1	< 0.1%
1.5411	14	0.1%
1.5395	1	< 0.1%

rba
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	921
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.27248405

Minimum	0
Maximum	35.3
Zeros	16
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	11.2395
Q1	13.12
median	14.36
Q3	15.56
95-th percentile	18.51
Maximum	35.3
Range	35.3
Interquartile range (IQR)	2.44

Descriptive statistics

Standard deviation	2.611150202
Coefficient of variation (CV)	0.1829499471
Kurtosis	12.05153723
Mean	14.27248405
Median Absolute Deviation (MAD)	1.2
Skewness	-2.012059401
Sum	178976.95
Variance	6.818105377
Monotonicity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.51	587	4.7%
15	570	4.5%
15.85	317	2.5%
13.65	263	2.1%
14.97	216	1.7%
14.53	206	1.6%
15.41	196	1.6%
14.23	195	1.6%
14.82	171	1.4%
13.94	170	1.4%
Other values (911)	9649	76.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	0.1%
0.01	3	< 0.1%
0.02	2	< 0.1%
0.03	1	< 0.1%
0.04	3	< 0.1%
0.07	18	0.1%
0.08	3	< 0.1%
0.09	2	< 0.1%
0.1	18	0.1%
0.11	20	0.2%

Value	Count	Frequency (%)
35.3	1	< 0.1%
35.16	1	< 0.1%
32.75	1	< 0.1%
31.32	1	< 0.1%
27.35	1	< 0.1%
23.28	1	< 0.1%
20.62	1	< 0.1%
20.58	1	< 0.1%
20.14	14	0.1%
20.12	1	< 0.1%

rbp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	5460
Distinct (%)	43.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.12558134

Minimum	0
Maximum	3184.75
Zeros	19
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2.86
Q1	13.16
median	30.2
Q3	59.675
95-th percentile	178.9045
Maximum	3184.75
Range	3184.75
Interquartile range (IQR)	46.515

Descriptive statistics

Standard deviation	141.9712207
Coefficient of variation (CV)	2.40118097
Kurtosis	201.3832365
Mean	59.12558134
Median Absolute Deviation (MAD)	20.855
Skewness	12.14136769
Sum	741434.79
Variance	20155.82752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.46	82	0.7%
14.32	43	0.3%
14.17	39	0.3%
14.61	37	0.3%
3.18	37	0.3%
6.5	36	0.3%
3.21	35	0.3%
32.29	33	0.3%
12.44	31	0.2%
6.64	28	0.2%
Other values (5450)	12139	96.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19	0.2%
0.01	4	< 0.1%
0.02	2	< 0.1%
0.03	1	< 0.1%
0.04	1	< 0.1%
0.06	1	< 0.1%
0.07	1	< 0.1%
0.08	1	< 0.1%
0.09	1	< 0.1%
0.11	4	< 0.1%

Value	Count	Frequency (%)
3184.75	1	< 0.1%
3025.68	2	< 0.1%
2950.36	1	< 0.1%
2820.33	1	< 0.1%
2691.38	1	< 0.1%
2666.35	1	< 0.1%
2636.54	1	< 0.1%
2633.22	1	< 0.1%
2631.56	1	< 0.1%
2629.91	1	< 0.1%

rlp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	5219
Distinct (%)	41.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54.89699841

Minimum	0
Maximum	3184.75
Zeros	19
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2.43
Q1	11.31
median	26.45
Q3	51.7725
95-th percentile	172.5055
Maximum	3184.75
Range	3184.75
Interquartile range (IQR)	40.4625

Descriptive statistics

Standard deviation	141.7093711
Coefficient of variation (CV)	2.581368294
Kurtosis	204.3474148
Mean	54.89699841
Median Absolute Deviation (MAD)	18.31
Skewness	12.28668235
Sum	688408.36
Variance	20081.54586
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.93	83	0.7%
11.81	45	0.4%
11.69	44	0.4%
2.49	39	0.3%
12.05	38	0.3%
5.2	36	0.3%
2.46	35	0.3%
27.45	33	0.3%
5.31	32	0.3%
12.44	31	0.2%
Other values (5209)	12124	96.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19	0.2%
0.01	4	< 0.1%
0.02	2	< 0.1%
0.03	2	< 0.1%
0.05	1	< 0.1%
0.06	2	< 0.1%
0.07	1	< 0.1%
0.09	4	< 0.1%
0.12	3	< 0.1%
0.14	1	< 0.1%

Value	Count	Frequency (%)
3184.75	1	< 0.1%
3025.68	2	< 0.1%
2950.36	1	< 0.1%
2820.33	1	< 0.1%
2691.38	1	< 0.1%
2666.35	1	< 0.1%
2636.54	1	< 0.1%
2633.22	1	< 0.1%
2631.56	1	< 0.1%
2629.91	1	< 0.1%

rld
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	5072
Distinct (%)	40.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.04680759027

Minimum	0
Maximum	0.120032
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.038834
Q1	0.042248
median	0.046208
Q3	0.0524625
95-th percentile	0.05877
Maximum	0.120032
Range	0.120032
Interquartile range (IQR)	0.0102145

Descriptive statistics

Standard deviation	0.008629389881
Coefficient of variation (CV)	0.1843587724
Kurtosis	11.50224594
Mean	0.04680759027
Median Absolute Deviation (MAD)	0.004711
Skewness	-1.89163215
Sum	586.967182
Variance	7.446636972 × 10^-5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.047233	150	1.2%
0.046725	137	1.1%
0.048249	94	0.7%
0.045709	92	0.7%
0.044922	82	0.7%
0.049264	81	0.6%
0.047741	70	0.6%
0.046217	52	0.4%
0.044186	51	0.4%
0.045201	44	0.4%
Other values (5062)	11687	93.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.1%
8 × 10^-6	1	< 0.1%
2.8 × 10^-5	3	< 0.1%
4.9 × 10^-5	2	< 0.1%
0.000113	1	< 0.1%
0.000126	2	< 0.1%
0.00013	1	< 0.1%
0.000229	6	< 0.1%
0.000233	1	< 0.1%
0.000237	1	< 0.1%

Value	Count	Frequency (%)
0.120032	1	< 0.1%
0.119616	1	< 0.1%
0.108179	1	< 0.1%
0.096388	1	< 0.1%
0.084222	1	< 0.1%
0.070289	1	< 0.1%
0.066743	1	< 0.1%
0.066694	1	< 0.1%
0.066361	1	< 0.1%
0.065312	1	< 0.1%

rlm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	87
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9878229665

Minimum	0
Maximum	2.55
Zeros	33
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.82
Q1	0.89
median	0.97
Q3	1.11
95-th percentile	1.24
Maximum	2.55
Range	2.55
Interquartile range (IQR)	0.22

Descriptive statistics

Standard deviation	0.1827147208
Coefficient of variation (CV)	0.184967071
Kurtosis	11.36383496
Mean	0.9878229665
Median Absolute Deviation (MAD)	0.1
Skewness	-1.862269083
Sum	12387.3
Variance	0.03338466919
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.95	475	3.8%
0.91	464	3.7%
0.94	434	3.5%
0.93	408	3.3%
1.2	408	3.3%
0.98	397	3.2%
0.85	395	3.1%
0.99	388	3.1%
0.86	381	3.0%
0.84	371	3.0%
Other values (77)	8419	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	33	0.3%
0.01	138	1.1%
0.02	10	0.1%
0.03	9	0.1%
0.42	1	< 0.1%
0.64	1	< 0.1%
0.66	3	< 0.1%
0.67	2	< 0.1%
0.68	3	< 0.1%
0.69	2	< 0.1%

Value	Count	Frequency (%)
2.55	1	< 0.1%
2.54	1	< 0.1%
2.3	1	< 0.1%
2.04	1	< 0.1%
1.78	1	< 0.1%
1.49	1	< 0.1%
1.41	2	< 0.1%
1.4	1	< 0.1%
1.38	1	< 0.1%
1.37	2	< 0.1%

rla
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	808
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.54233174

Minimum	0
Maximum	35.3
Zeros	16
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	10.28
Q1	11.23
median	12.35
Q3	14.13
95-th percentile	15.96
Maximum	35.3
Range	35.3
Interquartile range (IQR)	2.9

Descriptive statistics

Standard deviation	2.399627972
Coefficient of variation (CV)	0.1913223173
Kurtosis	10.45712886
Mean	12.54233174
Median Absolute Deviation (MAD)	1.33
Skewness	-1.569215557
Sum	157280.84
Variance	5.758214405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.64	159	1.3%
11.98	147	1.2%
12.49	143	1.1%
12.21	134	1.1%
13.21	98	0.8%
12.93	96	0.8%
10.45	90	0.7%
11.8	86	0.7%
12.58	85	0.7%
10.85	84	0.7%
Other values (798)	11418	91.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	0.1%
0.01	5	< 0.1%
0.03	4	< 0.1%
0.06	21	0.2%
0.07	2	< 0.1%
0.08	3	< 0.1%
0.09	32	0.3%
0.1	2	< 0.1%
0.11	6	< 0.1%
0.12	31	0.2%

Value	Count	Frequency (%)
35.3	1	< 0.1%
35.16	1	< 0.1%
31.32	1	< 0.1%
27.48	1	< 0.1%
23.63	1	< 0.1%
19.37	1	< 0.1%
18.31	1	< 0.1%
18.3	1	< 0.1%
18.2	1	< 0.1%
17.88	1	< 0.1%

vb
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8228
Distinct (%)	65.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14596.6772

Minimum	1.01
Maximum	1503664.86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	1.01
5-th percentile	256.5425
Q1	1533.63
median	10321.38
Q3	13168.95
95-th percentile	20822.3275
Maximum	1503664.86
Range	1503663.85
Interquartile range (IQR)	11635.32

Descriptive statistics

Standard deviation	70284.11083
Coefficient of variation (CV)	4.815076053
Kurtosis	228.3160868
Mean	14596.6772
Median Absolute Deviation (MAD)	6583.97
Skewness	14.38400206
Sum	183042332.1
Variance	4939856235
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11446.4	69	0.6%
11431.83	30	0.2%
11460.99	30	0.2%
11417.27	27	0.2%
11244.03	25	0.2%
11301.48	24	0.2%
13228.85	24	0.2%
10317.77	23	0.2%
10320.96	23	0.2%
11228.28	23	0.2%
Other values (8218)	12242	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.01	1	< 0.1%
1.02	4	< 0.1%
1.03	3	< 0.1%
1.07	2	< 0.1%
1.11	1	< 0.1%
1.12	2	< 0.1%
1.13	3	< 0.1%
1.14	4	< 0.1%
1.15	6	< 0.1%
1.16	2	< 0.1%

Value	Count	Frequency (%)
1503664.86	1	< 0.1%
1481479.55	1	< 0.1%
1452062.56	1	< 0.1%
1430349.09	1	< 0.1%
1424971.58	1	< 0.1%
1361994.82	1	< 0.1%
1360042.77	1	< 0.1%
1305274.19	1	< 0.1%
1285743.26	1	< 0.1%
1278661.56	1	< 0.1%

vl
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8313
Distinct (%)	66.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14269.37693

Minimum	1.01
Maximum	1503664.86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	1.01
5-th percentile	240.1405
Q1	1464.1625
median	10254.455
Q3	12763.4075
95-th percentile	20061.097
Maximum	1503664.86
Range	1503663.85
Interquartile range (IQR)	11299.245

Descriptive statistics

Standard deviation	69687.65536
Coefficient of variation (CV)	4.883720971
Kurtosis	229.9017004
Mean	14269.37693
Median Absolute Deviation (MAD)	6116.75
Skewness	14.44052035
Sum	178937986.7
Variance	4856369309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11193.28	69	0.6%
1.25	33	0.3%
11181.26	30	0.2%
11205.32	30	0.2%
11169.25	27	0.2%
11244.03	25	0.2%
12744.52	24	0.2%
10248.75	23	0.2%
10167.05	23	0.2%
10246.27	23	0.2%
Other values (8303)	12233	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.01	1	< 0.1%
1.02	6	< 0.1%
1.03	1	< 0.1%
1.05	1	< 0.1%
1.06	1	< 0.1%
1.11	4	< 0.1%
1.12	9	0.1%
1.13	2	< 0.1%
1.14	4	< 0.1%
1.15	2	< 0.1%

Value	Count	Frequency (%)
1503664.86	1	< 0.1%
1481479.55	1	< 0.1%
1452062.56	1	< 0.1%
1430349.09	1	< 0.1%
1424971.58	1	< 0.1%
1360042.77	1	< 0.1%
1307695.6	1	< 0.1%
1278661.56	1	< 0.1%
1259483.06	1	< 0.1%
1242881.77	1	< 0.1%

vrl
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8173
Distinct (%)	65.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3258.176935

Minimum	0
Maximum	503664.86
Zeros	16
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	8.49
Q1	251.7475
median	1150.155
Q3	3024.06
95-th percentile	8057.9715
Maximum	503664.86
Range	503664.86
Interquartile range (IQR)	2772.3125

Descriptive statistics

Standard deviation	16073.61803
Coefficient of variation (CV)	4.933316498
Kurtosis	428.2790717
Mean	3258.176935
Median Absolute Deviation (MAD)	1034.605
Skewness	18.83988175
Sum	40857538.77
Variance	258361196.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1193.28	69	0.6%
1205.32	30	0.2%
1181.26	30	0.2%
1169.25	27	0.2%
1244.03	25	0.2%
2744.52	24	0.2%
167.05	23	0.2%
248.75	23	0.2%
246.27	23	0.2%
1228.28	23	0.2%
Other values (8163)	12243	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	0.1%
0.01	2	< 0.1%
0.02	11	0.1%
0.03	6	< 0.1%
0.04	11	0.1%
0.05	9	0.1%
0.06	9	0.1%
0.07	5	< 0.1%
0.08	5	< 0.1%
0.09	14	0.1%

Value	Count	Frequency (%)
503664.86	1	< 0.1%
481479.55	1	< 0.1%
452062.56	1	< 0.1%
430349.09	1	< 0.1%
424971.58	1	< 0.1%
376141.57	1	< 0.1%
360472.99	1	< 0.1%
360042.77	1	< 0.1%
336997.86	1	< 0.1%
320743.36	1	< 0.1%

prlt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	5304
Distinct (%)	42.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54.89605981

Minimum	0
Maximum	3184.75
Zeros	19
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2.43
Q1	11.31
median	26.45
Q3	51.7925
95-th percentile	172.5055
Maximum	3184.75
Range	3184.75
Interquartile range (IQR)	40.4825

Descriptive statistics

Standard deviation	141.7095735
Coefficient of variation (CV)	2.581416115
Kurtosis	204.3465514
Mean	54.89605981
Median Absolute Deviation (MAD)	18.32
Skewness	12.28664802
Sum	688396.59
Variance	20081.60321
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.93	83	0.7%
11.81	45	0.4%
11.69	44	0.4%
5.2	40	0.3%
2.46	39	0.3%
2.49	38	0.3%
12.05	38	0.3%
5.31	32	0.3%
12.44	31	0.2%
1.59	30	0.2%
Other values (5294)	12120	96.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19	0.2%
0.01	4	< 0.1%
0.02	2	< 0.1%
0.03	2	< 0.1%
0.05	1	< 0.1%
0.06	2	< 0.1%
0.07	1	< 0.1%
0.09	4	< 0.1%
0.12	3	< 0.1%
0.14	1	< 0.1%

Value	Count	Frequency (%)
3184.75	1	< 0.1%
3025.68	2	< 0.1%
2950.36	1	< 0.1%
2820.33	1	< 0.1%
2691.38	1	< 0.1%
2666.35	1	< 0.1%
2636.54	1	< 0.1%
2633.22	1	< 0.1%
2631.56	1	< 0.1%
2629.91	1	< 0.1%

idx
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

CDI	4913
PRÉ	4326
IPCA	3301

Length

Max length	4
Median length	3
Mean length	3.26323764
Min length	3

Characters and Unicode

Total characters	40921
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CDI
2nd row	CDI
3rd row	CDI
4th row	CDI
5th row	CDI

Common Values

Value	Count	Frequency (%)
CDI	4913	39.2%
PRÉ	4326	34.5%
IPCA	3301	26.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cdi	4913	39.2%
pré	4326	34.5%
ipca	3301	26.3%

Most occurring characters

Value	Count	Frequency (%)
C	8214	20.1%
I	8214	20.1%
P	7627	18.6%
D	4913	12.0%
R	4326	10.6%
É	4326	10.6%
A	3301	8.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	40921	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	8214	20.1%
I	8214	20.1%
P	7627	18.6%
D	4913	12.0%
R	4326	10.6%
É	4326	10.6%
A	3301	8.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40921	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	8214	20.1%
I	8214	20.1%
P	7627	18.6%
D	4913	12.0%
R	4326	10.6%
É	4326	10.6%
A	3301	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36595	89.4%
None	4326	10.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	8214	22.4%
I	8214	22.4%
P	7627	20.8%
D	4913	13.4%
R	4326	11.8%
A	3301	9.0%

None

Value	Count	Frequency (%)
É	4326	100.0%

rpd
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

0.0181	7773
0.0167	4767

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	75240
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0181
2nd row	0.0181
3rd row	0.0181
4th row	0.0181
5th row	0.0181

Common Values

Value	Count	Frequency (%)
0.0181	7773	62.0%
0.0167	4767	38.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0181	7773	62.0%
0.0167	4767	38.0%

Most occurring characters

Value	Count	Frequency (%)
0	25080	33.3%
1	20313	27.0%
.	12540	16.7%
8	7773	10.3%
6	4767	6.3%
7	4767	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	62700	83.3%
Other Punctuation	12540	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	25080	40.0%
1	20313	32.4%
8	7773	12.4%
6	4767	7.6%
7	4767	7.6%

Other Punctuation

Value	Count	Frequency (%)
.	12540	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	75240	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	25080	33.3%
1	20313	27.0%
.	12540	16.7%
8	7773	10.3%
6	4767	6.3%
7	4767	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	75240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	25080	33.3%
1	20313	27.0%
.	12540	16.7%
8	7773	10.3%
6	4767	6.3%
7	4767	6.3%

rpp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1696
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.2882512

Minimum	0.33
Maximum	197.34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0.33
5-th percentile	1.11
Q1	4.28
median	9.36
Q3	18.005
95-th percentile	37.36
Maximum	197.34
Range	197.01
Interquartile range (IQR)	13.725

Descriptive statistics

Standard deviation	14.80452544
Coefficient of variation (CV)	1.11410638
Kurtosis	26.77338201
Mean	13.2882512
Median Absolute Deviation (MAD)	5.22
Skewness	3.871722036
Sum	166634.67
Variance	219.1739736
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.28	597	4.8%
4.64	507	4.0%
2.27	327	2.6%
9.48	265	2.1%
8.73	259	2.1%
9.36	214	1.7%
8.75	211	1.7%
1.11	202	1.6%
13.42	198	1.6%
14.35	194	1.5%
Other values (1686)	9566	76.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.33	5	< 0.1%
0.35	54	0.4%
0.36	30	0.2%
0.37	5	< 0.1%
0.38	26	0.2%
0.4	11	0.1%
0.43	3	< 0.1%
0.49	1	< 0.1%
0.58	1	< 0.1%
0.67	18	0.1%

Value	Count	Frequency (%)
197.34	1	< 0.1%
191.64	1	< 0.1%
188.39	2	< 0.1%
167.69	1	< 0.1%
167.6	1	< 0.1%
167.55	1	< 0.1%
167.5	1	< 0.1%
167.45	1	< 0.1%
167.4	3	< 0.1%
149.21	1	< 0.1%

vpp
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3401
Distinct (%)	27.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12110.34547

Minimum	1
Maximum	1146651.57
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	1
5-th percentile	202.263
Q1	1199.01
median	10104.09
Q3	10936.09
95-th percentile	12551.22
Maximum	1146651.57
Range	1146650.57
Interquartile range (IQR)	9737.08

Descriptive statistics

Standard deviation	61505.85523
Coefficient of variation (CV)	5.078786182
Kurtosis	217.2144123
Mean	12110.34547
Median Absolute Deviation (MAD)	4123.11
Skewness	14.17117693
Sum	151863732.2
Variance	3782970228
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10428.14	491	3.9%
10464.19	300	2.4%
10872.8	251	2.0%
11340.2	171	1.4%
10226.69	158	1.3%
10874.61	149	1.2%
1046.42	149	1.2%
1094.8	144	1.1%
11342.09	140	1.1%
10949.94	134	1.1%
Other values (3391)	10453	83.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
1.01	7	0.1%
1.02	2	< 0.1%
1.04	3	< 0.1%
1.05	4	< 0.1%
1.06	2	< 0.1%
1.07	13	0.1%
1.08	6	< 0.1%
1.09	24	0.2%
1.1	9	0.1%

Value	Count	Frequency (%)
1146651.57	2	< 0.1%
1143546.51	5	< 0.1%
1118197.95	1	< 0.1%
1093608.96	2	< 0.1%
1093411.28	2	< 0.1%
1068980.78	1	< 0.1%
1057257.65	1	< 0.1%
1045663.08	1	< 0.1%
1045474.07	4	< 0.1%
1022669.12	1	< 0.1%

teq
Categorical

HIGH CARDINALITY

Distinct	1703
Distinct (%)	13.6%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

LCI/LCA IPCA + 7.42%	368
LCI/LCA 12.0% PRÉ	227
LCI/LCA IPCA + 7.2%	215
LCI/LCA 97.75% CDI	214
LCI/LCA 11.62% PRÉ	180
Other values (1698)	11336

Length

Max length	20
Median length	19
Mean length	17.24043062
Min length	9

Characters and Unicode

Total characters	216195
Distinct characters	24
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	559 ?
Unique (%)	4.5%

Sample

1st row	LCI/LCA 194.98% CDI
2nd row	LCI/LCA 194.3% CDI
3rd row	LCI/LCA 182.74% CDI
4th row	LCI/LCA 181.05% CDI
5th row	LCI/LCA 160.65% CDI

Common Values

Value	Count	Frequency (%)
LCI/LCA IPCA + 7.42%	368	2.9%
LCI/LCA 12.0% PRÉ	227	1.8%
LCI/LCA IPCA + 7.2%	215	1.7%
LCI/LCA 97.75% CDI	214	1.7%
LCI/LCA 11.62% PRÉ	180	1.4%
LCI/LCA 12.38% PRÉ	164	1.3%
LCI/LCA 95.2% CDI	157	1.3%
LCI/LCA 93.5% CDI	127	1.0%
LCI/LCA 92.65% CDI	124	1.0%
LCI/LCA 91.8% CDI	122	1.0%
Other values (1693)	10642	84.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lci/lca	9136	22.4%
cdi	4913	12.0%
pré	4322	10.6%
cdb	3404	8.3%
	3275	8.0%
ipca	3237	7.9%
7.42	369	0.9%
12.0	237	0.6%
7.2	221	0.5%
97.75	214	0.5%
Other values (1401)	11499	28.2%

Most occurring characters

Value	Count	Frequency (%)
C	29826	13.8%
	28287	13.1%
L	18272	8.5%
I	17286	8.0%
.	12540	5.8%
%	12540	5.8%
A	12373	5.7%
1	9748	4.5%
/	9136	4.2%
D	8317	3.8%
Other values (14)	57870	26.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	105681	48.9%
Decimal Number	44736	20.7%
Other Punctuation	34216	15.8%
Space Separator	28287	13.1%
Math Symbol	3275	1.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	9748	21.8%
2	4637	10.4%
5	4388	9.8%
7	4350	9.7%
8	4342	9.7%
0	4135	9.2%
9	4065	9.1%
6	3692	8.3%
4	3123	7.0%
3	2256	5.0%

Uppercase Letter

Value	Count	Frequency (%)
C	29826	28.2%
L	18272	17.3%
I	17286	16.4%
A	12373	11.7%
D	8317	7.9%
P	7559	7.2%
É	4322	4.1%
R	4322	4.1%
B	3404	3.2%

Other Punctuation

Value	Count	Frequency (%)
.	12540	36.6%
%	12540	36.6%
/	9136	26.7%

Space Separator

Value	Count	Frequency (%)
	28287	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3275	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	110514	51.1%
Latin	105681	48.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
	28287	25.6%
.	12540	11.3%
%	12540	11.3%
1	9748	8.8%
/	9136	8.3%
2	4637	4.2%
5	4388	4.0%
7	4350	3.9%
8	4342	3.9%
0	4135	3.7%
Other values (5)	16411	14.8%

Latin

Value	Count	Frequency (%)
C	29826	28.2%
L	18272	17.3%
I	17286	16.4%
A	12373	11.7%
D	8317	7.9%
P	7559	7.2%
É	4322	4.1%
R	4322	4.1%
B	3404	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	211873	98.0%
None	4322	2.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	29826	14.1%
	28287	13.4%
L	18272	8.6%
I	17286	8.2%
.	12540	5.9%
%	12540	5.9%
A	12373	5.8%
1	9748	4.6%
/	9136	4.3%
D	8317	3.9%
Other values (13)	53548	25.3%

None

Value	Count	Frequency (%)
É	4322	100.0%

tt
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	921
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.27248405

Minimum	0
Maximum	35.3
Zeros	16
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	11.2395
Q1	13.12
median	14.36
Q3	15.56
95-th percentile	18.51
Maximum	35.3
Range	35.3
Interquartile range (IQR)	2.44

Descriptive statistics

Standard deviation	2.611150202
Coefficient of variation (CV)	0.1829499471
Kurtosis	12.05153723
Mean	14.27248405
Median Absolute Deviation (MAD)	1.2
Skewness	-2.012059401
Sum	178976.95
Variance	6.818105377
Monotonicity	Decreasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18.51	587	4.7%
15	570	4.5%
15.85	317	2.5%
13.65	263	2.1%
14.97	216	1.7%
14.53	206	1.6%
15.41	196	1.6%
14.23	195	1.6%
14.82	171	1.4%
13.94	170	1.4%
Other values (911)	9649	76.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	16	0.1%
0.01	3	< 0.1%
0.02	2	< 0.1%
0.03	1	< 0.1%
0.04	3	< 0.1%
0.07	18	0.1%
0.08	3	< 0.1%
0.09	2	< 0.1%
0.1	18	0.1%
0.11	20	0.2%

Value	Count	Frequency (%)
35.3	1	< 0.1%
35.16	1	< 0.1%
32.75	1	< 0.1%
31.32	1	< 0.1%
27.35	1	< 0.1%
23.28	1	< 0.1%
20.62	1	< 0.1%
20.58	1	< 0.1%
20.14	14	0.1%
20.12	1	< 0.1%

am
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	104
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	183538.3812

Minimum	7600
Maximum	250000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	7600
5-th percentile	90000
Q1	160000
median	190000
Q3	220000
95-th percentile	240000
Maximum	250000
Range	242400
Interquartile range (IQR)	60000

Descriptive statistics

Standard deviation	48441.75101
Coefficient of variation (CV)	0.2639325393
Kurtosis	0.4703224799
Mean	183538.3812
Median Absolute Deviation (MAD)	30000
Skewness	-0.9262206881
Sum	2301571300
Variance	2346603241
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
220000	1734	13.8%
240000	1266	10.1%
190000	1195	9.5%
230000	956	7.6%
180000	863	6.9%
200000	830	6.6%
170000	789	6.3%
210000	782	6.2%
160000	751	6.0%
140000	635	5.1%
Other values (94)	2739	21.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7600	1	< 0.1%
8000	2	< 0.1%
8200	1	< 0.1%
8600	1	< 0.1%
9000	2	< 0.1%
9100	2	< 0.1%
9200	4	< 0.1%
9300	3	< 0.1%
11000	4	< 0.1%
12000	5	< 0.1%

Value	Count	Frequency (%)
250000	341	2.7%
240000	1266	10.1%
230000	956	7.6%
220000	1734	13.8%
210000	782	6.2%
200000	830	6.6%
190000	1195	9.5%
180000	863	6.9%
170000	789	6.3%
160000	751	6.0%

total
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1277
Distinct (%)	10.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.84182057

Minimum	0
Maximum	236.34
Zeros	17
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	98.1 KiB

Quantile statistics

Minimum	0
5-th percentile	5.25
Q1	9
median	13.7
Q3	100.25
95-th percentile	113
Maximum	236.34
Range	236.34
Interquartile range (IQR)	91.25

Descriptive statistics

Standard deviation	45.87722992
Coefficient of variation (CV)	1.023090261
Kurtosis	-1.545007454
Mean	44.84182057
Median Absolute Deviation (MAD)	7.6
Skewness	0.5770091296
Sum	562316.43
Variance	2104.720225
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	586	4.7%
15	563	4.5%
115	277	2.2%
100	234	1.9%
109	214	1.7%
106	205	1.6%
104	191	1.5%
112	184	1.5%
102	160	1.3%
108	153	1.2%
Other values (1267)	9773	77.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	17	0.1%
0.02	1	< 0.1%
0.04	1	< 0.1%
0.07	3	< 0.1%
0.09	1	< 0.1%
0.1	2	< 0.1%
0.12	2	< 0.1%
0.14	1	< 0.1%
0.15	1	< 0.1%
0.18	3	< 0.1%

Value	Count	Frequency (%)
236.34	1	< 0.1%
235.52	1	< 0.1%
221.5	1	< 0.1%
213	1	< 0.1%
189	1	< 0.1%
163.6	1	< 0.1%
135	1	< 0.1%
128.5	1	< 0.1%
128.25	1	< 0.1%
128	1	< 0.1%

cores
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

['linear-gradient(135deg, #00003C 0%,#242947 100%)']	6967
['linear-gradient(135deg, #1e2021 0%,#3c3e40 100%)']	1367
['linear-gradient(135deg, #030441 0%,#0e0e70 100%)']	837
['linear-gradient(270deg, #41266B 0%,#351C55 100%)']	669
['linear-gradient(135deg, #005e77 1%,#007298 100%)']	533
Other values (19)	2167

Length

Max length	64
Median length	52
Mean length	52.11730463
Min length	51

Characters and Unicode

Total characters	653551
Distinct characters	35
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	['linear-gradient(135deg, #474747 0%,#000000 100%)']
2nd row	['linear-gradient(135deg, #474747 0%,#000000 100%)']
3rd row	['linear-gradient(135deg, #474747 0%,#000000 100%)']
4th row	['linear-gradient(135deg, #474747 0%,#000000 100%)']
5th row	['linear-gradient(135deg, #474747 0%,#000000 100%)']

Common Values

Value	Count	Frequency (%)
['linear-gradient(135deg, #00003C 0%,#242947 100%)']	6967	55.6%
['linear-gradient(135deg, #1e2021 0%,#3c3e40 100%)']	1367	10.9%
['linear-gradient(135deg, #030441 0%,#0e0e70 100%)']	837	6.7%
['linear-gradient(270deg, #41266B 0%,#351C55 100%)']	669	5.3%
['linear-gradient(135deg, #005e77 1%,#007298 100%)']	533	4.3%
['linear-gradient(135deg, #313234 1%,#4c4e54 100%)']	514	4.1%
['linear-gradient(135deg, #0072ce 0%,#178eee 100%)']	375	3.0%
['linear-gradient(135deg, #008187 1%,#069b8a 100%)']	314	2.5%
['linear-gradient(135deg, #275251 0%,#327775 100%)']	275	2.2%
['linear-gradient(135deg, #001455 0%,#052488 100%)']	185	1.5%
Other values (14)	504	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100	12540	24.9%
linear-gradient(135deg	11871	23.6%
00003c	6967	13.9%
0%,#242947	6967	13.9%
1e2021	1367	2.7%
0%,#3c3e40	1367	2.7%
030441	837	1.7%
0%,#0e0e70	837	1.7%
linear-gradient(270deg	669	1.3%
41266b	669	1.3%
Other values (41)	6181	12.3%

Most occurring characters

Value	Count	Frequency (%)
0	76541	11.7%
e	44772	6.9%
	37738	5.8%
1	33481	5.1%
a	25819	4.0%
3	25318	3.9%
d	25248	3.9%
%	25203	3.9%
,	25203	3.9%
#	25203	3.9%
Other values (25)	309025	47.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	224850	34.4%
Decimal Number	219193	33.5%
Other Punctuation	100689	15.4%
Space Separator	37738	5.8%
Close Punctuation	25080	3.8%
Open Punctuation	25080	3.8%
Dash Punctuation	12540	1.9%
Uppercase Letter	8381	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	44772	19.9%
a	25819	11.5%
d	25248	11.2%
r	25080	11.2%
g	25080	11.2%
n	25080	11.2%
i	25080	11.2%
t	12540	5.6%
l	12540	5.6%
c	2483	1.1%
Other values (2)	1128	0.5%

Decimal Number

Value	Count	Frequency (%)
0	76541	34.9%
1	33481	15.3%
3	25318	11.6%
2	21055	9.6%
4	20295	9.3%
5	16719	7.6%
7	12819	5.8%
9	8309	3.8%
8	2747	1.3%
6	1909	0.9%

Other Punctuation

Value	Count	Frequency (%)
%	25203	25.0%
,	25203	25.0%
#	25203	25.0%
'	25080	24.9%

Uppercase Letter

Value	Count	Frequency (%)
C	7636	91.1%
B	669	8.0%
E	76	0.9%

Close Punctuation

Value	Count	Frequency (%)
)	12540	50.0%
]	12540	50.0%

Open Punctuation

Value	Count	Frequency (%)
[	12540	50.0%
(	12540	50.0%

Space Separator

Value	Count	Frequency (%)
	37738	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12540	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	420320	64.3%
Latin	233231	35.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	76541	18.2%
	37738	9.0%
1	33481	8.0%
3	25318	6.0%
%	25203	6.0%
,	25203	6.0%
#	25203	6.0%
'	25080	6.0%
2	21055	5.0%
4	20295	4.8%
Other values (10)	105203	25.0%

Latin

Value	Count	Frequency (%)
e	44772	19.2%
a	25819	11.1%
d	25248	10.8%
r	25080	10.8%
g	25080	10.8%
n	25080	10.8%
i	25080	10.8%
t	12540	5.4%
l	12540	5.4%
C	7636	3.3%
Other values (5)	4356	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	653551	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	76541	11.7%
e	44772	6.9%
	37738	5.8%
1	33481	5.1%
a	25819	4.0%
3	25318	3.9%
d	25248	3.9%
%	25203	3.9%
,	25203	3.9%
#	25203	3.9%
Other values (25)	309025	47.3%

logo
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	98.1 KiB

['safra.png']	6967
['xp.png']	1367
['rico.png']	837
['nuinvest.png']	669
['novafutura.png']	533
Other values (19)	2167

Length

Max length	21
Median length	13
Mean length	13.12503987
Min length	10

Characters and Unicode

Total characters	164588
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	['hurst.png']
2nd row	['hurst.png']
3rd row	['hurst.png']
4th row	['hurst.png']
5th row	['hurst.png']

Common Values

Value	Count	Frequency (%)
['safra.png']	6967	55.6%
['xp.png']	1367	10.9%
['rico.png']	837	6.7%
['nuinvest.png']	669	5.3%
['novafutura.png']	533	4.3%
['agora.png']	514	4.1%
['ativa.png']	375	3.0%
['modalmais.png']	314	2.5%
['terra.png']	275	2.2%
['daycoval.png']	185	1.5%
Other values (14)	504	4.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
safra.png	6967	55.6%
xp.png	1367	10.9%
rico.png	837	6.7%
nuinvest.png	669	5.3%
novafutura.png	533	4.3%
agora.png	514	4.1%
ativa.png	375	3.0%
modalmais.png	314	2.5%
terra.png	275	2.2%
daycoval.png	185	1.5%
Other values (14)	504	4.0%

Most occurring characters

Value	Count	Frequency (%)
'	25080	15.2%
a	18442	11.2%
n	14642	8.9%
p	13985	8.5%
g	13170	8.0%
[	12540	7.6%
.	12540	7.6%
]	12540	7.6%
r	9668	5.9%
s	8055	4.9%
Other values (15)	23926	14.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101888	61.9%
Other Punctuation	37620	22.9%
Open Punctuation	12540	7.6%
Close Punctuation	12540	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18442	18.1%
n	14642	14.4%
p	13985	13.7%
g	13170	12.9%
r	9668	9.5%
s	8055	7.9%
f	7523	7.4%
o	2558	2.5%
i	2508	2.5%
t	2104	2.1%
Other values (11)	9233	9.1%

Other Punctuation

Value	Count	Frequency (%)
'	25080	66.7%
.	12540	33.3%

Open Punctuation

Value	Count	Frequency (%)
[	12540	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	12540	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101888	61.9%
Common	62700	38.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18442	18.1%
n	14642	14.4%
p	13985	13.7%
g	13170	12.9%
r	9668	9.5%
s	8055	7.9%
f	7523	7.4%
o	2558	2.5%
i	2508	2.5%
t	2104	2.1%
Other values (11)	9233	9.1%

Common

Value	Count	Frequency (%)
'	25080	40.0%
[	12540	20.0%
.	12540	20.0%
]	12540	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164588	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	25080	15.2%
a	18442	11.2%
n	14642	8.9%
p	13985	8.5%
g	13170	8.0%
[	12540	7.6%
.	12540	7.6%
]	12540	7.6%
r	9668	5.9%
s	8055	4.9%
Other values (15)	23926	14.5%

rico_tipo
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	11703
Missing (%)	93.3%
Memory size	98.1 KiB

bancario	748
privado	89

Length

Max length	8
Median length	8
Mean length	7.893667861
Min length	7

Characters and Unicode

Total characters	6607
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	bancario
2nd row	bancario
3rd row	bancario
4th row	bancario
5th row	bancario

Common Values

Value	Count	Frequency (%)
bancario	748	6.0%
privado	89	0.7%
(Missing)	11703	93.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bancario	748	89.4%
privado	89	10.6%

Most occurring characters

Value	Count	Frequency (%)
a	1585	24.0%
r	837	12.7%
i	837	12.7%
o	837	12.7%
b	748	11.3%
n	748	11.3%
c	748	11.3%
p	89	1.3%
v	89	1.3%
d	89	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6607	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1585	24.0%
r	837	12.7%
i	837	12.7%
o	837	12.7%
b	748	11.3%
n	748	11.3%
c	748	11.3%
p	89	1.3%
v	89	1.3%
d	89	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6607	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1585	24.0%
r	837	12.7%
i	837	12.7%
o	837	12.7%
b	748	11.3%
n	748	11.3%
c	748	11.3%
p	89	1.3%
v	89	1.3%
d	89	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6607	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1585	24.0%
r	837	12.7%
i	837	12.7%
o	837	12.7%
b	748	11.3%
n	748	11.3%
c	748	11.3%
p	89	1.3%
v	89	1.3%
d	89	1.3%

xp_tipo
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	11173
Missing (%)	89.1%
Memory size	98.1 KiB

bancario	1228
privado	139

Length

Max length	8
Median length	8
Mean length	7.898317484
Min length	7

Characters and Unicode

Total characters	10797
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	bancario
2nd row	bancario
3rd row	bancario
4th row	bancario
5th row	bancario

Common Values

Value	Count	Frequency (%)
bancario	1228	9.8%
privado	139	1.1%
(Missing)	11173	89.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bancario	1228	89.8%
privado	139	10.2%

Most occurring characters

Value	Count	Frequency (%)
a	2595	24.0%
r	1367	12.7%
i	1367	12.7%
o	1367	12.7%
b	1228	11.4%
n	1228	11.4%
c	1228	11.4%
p	139	1.3%
v	139	1.3%
d	139	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10797	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2595	24.0%
r	1367	12.7%
i	1367	12.7%
o	1367	12.7%
b	1228	11.4%
n	1228	11.4%
c	1228	11.4%
p	139	1.3%
v	139	1.3%
d	139	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10797	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2595	24.0%
r	1367	12.7%
i	1367	12.7%
o	1367	12.7%
b	1228	11.4%
n	1228	11.4%
c	1228	11.4%
p	139	1.3%
v	139	1.3%
d	139	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10797	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2595	24.0%
r	1367	12.7%
i	1367	12.7%
o	1367	12.7%
b	1228	11.4%
n	1228	11.4%
c	1228	11.4%
p	139	1.3%
v	139	1.3%
d	139	1.3%

cod_cetip
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	291
Distinct (%)	94.2%
Missing	12231
Missing (%)	97.5%
Memory size	98.1 KiB

ECHP11	2
ITPO14	2
EGIEA0	2
PTAZ11	2
CBAN12	2
Other values (286)	299

Length

Max length	11
Median length	6
Mean length	6.453074434
Min length	6

Characters and Unicode

Total characters	1994
Distinct characters	35
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	273 ?
Unique (%)	88.3%

Sample

1st row	SAUC14
2nd row	CRA0220058X
3rd row	JSMLB5
4th row	CNRD11
5th row	CRA022000RT

Common Values

Value	Count	Frequency (%)
ECHP11	2	< 0.1%
ITPO14	2	< 0.1%
EGIEA0	2	< 0.1%
PTAZ11	2	< 0.1%
CBAN12	2	< 0.1%
CART13	2	< 0.1%
MSGT23	2	< 0.1%
MSGT12	2	< 0.1%
PLSB1A	2	< 0.1%
MSGT33	2	< 0.1%
Other values (281)	289	2.3%
(Missing)	12231	97.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
echp11	2	0.6%
ctee17	2	0.6%
cuti11	2	0.6%
cjen13	2	0.6%
rumoa4	2	0.6%
anem11	2	0.6%
ibpb11	2	0.6%
neoe26	2	0.6%
gasc23	2	0.6%
itpo14	2	0.6%
Other values (281)	289	93.5%

Most occurring characters

Value	Count	Frequency (%)
1	250	12.5%
E	175	8.8%
2	166	8.3%
A	134	6.7%
T	109	5.5%
C	107	5.4%
0	89	4.5%
R	88	4.4%
S	83	4.2%
P	75	3.8%
Other values (25)	718	36.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1276	64.0%
Decimal Number	718	36.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	175	13.7%
A	134	10.5%
T	109	8.5%
C	107	8.4%
R	88	6.9%
S	83	6.5%
P	75	5.9%
N	70	5.5%
G	69	5.4%
B	55	4.3%
Other values (15)	311	24.4%

Decimal Number

Value	Count	Frequency (%)
1	250	34.8%
2	166	23.1%
0	89	12.4%
3	47	6.5%
4	33	4.6%
5	32	4.5%
6	28	3.9%
7	25	3.5%
8	24	3.3%
9	24	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1276	64.0%
Common	718	36.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	175	13.7%
A	134	10.5%
T	109	8.5%
C	107	8.4%
R	88	6.9%
S	83	6.5%
P	75	5.9%
N	70	5.5%
G	69	5.4%
B	55	4.3%
Other values (15)	311	24.4%

Common

Value	Count	Frequency (%)
1	250	34.8%
2	166	23.1%
0	89	12.4%
3	47	6.5%
4	33	4.6%
5	32	4.5%
6	28	3.9%
7	25	3.5%
8	24	3.3%
9	24	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1994	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	250	12.5%
E	175	8.8%
2	166	8.3%
A	134	6.7%
T	109	5.5%
C	107	5.4%
0	89	4.5%
R	88	4.4%
S	83	4.2%
P	75	3.8%
Other values (25)	718	36.0%

escalonado
Boolean

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	5.9%
Missing	12523
Missing (%)	99.9%
Memory size	98.1 KiB

False	17
(Missing)	12523

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	17	0.1%
(Missing)	12523	99.9%

avista_id
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	16.7%
Missing	12516
Missing (%)	99.8%
Memory size	98.1 KiB

10.0	8
9.0	8
22.0	4
11.0	4

Length

Max length	4
Median length	4
Mean length	3.666666667
Min length	3

Characters and Unicode

Total characters	88
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10.0
2nd row	10.0
3rd row	22.0
4th row	22.0
5th row	10.0

Common Values

Value	Count	Frequency (%)
10.0	8	0.1%
9.0	8	0.1%
22.0	4	< 0.1%
11.0	4	< 0.1%
(Missing)	12516	99.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
10.0	8	33.3%
9.0	8	33.3%
22.0	4	16.7%
11.0	4	16.7%

Most occurring characters

Value	Count	Frequency (%)
0	32	36.4%
.	24	27.3%
1	16	18.2%
9	8	9.1%
2	8	9.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	64	72.7%
Other Punctuation	24	27.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	32	50.0%
1	16	25.0%
9	8	12.5%
2	8	12.5%

Other Punctuation

Value	Count	Frequency (%)
.	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	88	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	32	36.4%
.	24	27.3%
1	16	18.2%
9	8	9.1%
2	8	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	88	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	32	36.4%
.	24	27.3%
1	16	18.2%
9	8	9.1%
2	8	9.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	_id	tipo	subtipo	vencimento	qtdMinima	taxa	msg_patrocinado	patrocinado	emissor	liquidez	incentivada	qualificado	juros	amortizacao	carencia	rating	agencia	preco	corretora	nr	a	investir	tp_d	chat	enable_popup	url	tp_mercado	tir	vir	dc	du	rbd	rbm	rba	rbp	rlp	rld	rlm	rla	vb	vl	vrl	prlt	idx	rpd	rpp	vpp	teq	tt	am	total	cores	logo	rico_tipo	xp_tipo	cod_cetip	escalonado	avista_id
0	{'$oid': '6325e0f59491f55d25c880cb'}	ATIVO REAL	CARTEIRA DE PRECATÓRIOS MUNICIPAIS #38/2022	547 dias	10000.000000	236.34% CDI	NaN	False	CARTEIRA DE PRECATÓRIOS MUNICIPAIS #38/2022	No vencimento	False	False	236.34	Vencimento	No vencimento	NaN	NaN	10000.000000	Hurst Capital	0	Hurst Capital	False	Fintech	False	True	https://hurst.capital/operation/960dfe3e-e7a3-4d77-bc61-f5dcf40cdb12	P	0.0	0.00	547	375	0.120032	2.5512	35.30	56.81	56.81	0.120032	2.55	35.30	15680.80	15680.80	5680.80	56.81	CDI	0.0181	7.01	10701.41	LCI/LCA 194.98% CDI	35.30	160000.0	236.34	['linear-gradient(135deg, #474747 0%,#000000 100%)']	['hurst.png']	NaN	NaN	NaN	NaN	NaN
1	{'$oid': '6325e0f59491f55d25c880cd'}	ATIVO REAL	CARTEIRA DE PRECATÓRIOS FEDERAIS ALIMENTARES #39/2022	577 dias	10000.000000	235.52% CDI	NaN	False	CARTEIRA DE PRECATÓRIOS FEDERAIS ALIMENTARES #39/2022	No vencimento	False	False	235.52	Vencimento	No vencimento	NaN	NaN	10000.000000	Hurst Capital	0	Hurst Capital	False	Fintech	False	True	https://hurst.capital/operation/0e0349ff-81f5-4a71-ace1-ea50c5aa9731	P	0.0	0.00	577	396	0.119616	2.5422	35.16	60.54	60.54	0.119616	2.54	35.16	16054.37	16054.37	6054.37	60.54	CDI	0.0181	7.42	10742.11	LCI/LCA 194.3% CDI	35.16	160000.0	235.52	['linear-gradient(135deg, #474747 0%,#000000 100%)']	['hurst.png']	NaN	NaN	NaN	NaN	NaN
2	{'$oid': '6325e0f59491f55d25c880c9'}	ATIVO REAL	CARTEIRA FEDERAL #36/2022	638 dias	10000.000000	221.5% CDI	NaN	False	CARTEIRA FEDERAL #36/2022	No vencimento	False	False	221.50	Vencimento	No vencimento	NaN	NaN	10000.000000	Hurst Capital	0	Hurst Capital	False	Fintech	False	True	https://hurst.capital/operation/97294719-f536-4c72-8a6d-3fb12841f10f	P	17.5	1113.57	638	438	0.112496	2.3892	32.75	63.63	52.50	0.096388	2.04	27.48	16363.26	15249.69	5249.69	52.50	CDI	0.0181	8.24	10823.98	LCI/LCA 182.74% CDI	32.75	150000.0	221.50	['linear-gradient(135deg, #474747 0%,#000000 100%)']	['hurst.png']	NaN	NaN	NaN	NaN	NaN
3	{'$oid': '6325e0f59491f55d25c880ca'}	ATIVO REAL	OPERAÇÃO PRECATÓRIO ESTADUAL - PE #37/2022	790 dias	10000.000000	213.0% CDI	NaN	False	OPERAÇÃO PRECATÓRIO ESTADUAL - PE #37/2022	No vencimento	False	False	213.00	Vencimento	No vencimento	NaN	NaN	10000.000000	Hurst Capital	0	Hurst Capital	False	Fintech	False	True	https://hurst.capital/operation/3550baf5-a7a1-4b4e-91f0-158ddda60971	P	0.0	0.00	790	544	0.108179	2.2965	31.32	80.07	80.07	0.108179	2.30	31.32	18006.96	18006.96	8006.96	80.07	CDI	0.0181	10.33	11033.39	LCI/LCA 181.05% CDI	31.32	140000.0	213.00	['linear-gradient(135deg, #474747 0%,#000000 100%)']	['hurst.png']	NaN	NaN	NaN	NaN	NaN
4	{'$oid': '6325e0f59491f55d25c880c8'}	CCB	CCB - INCORPORAÇÃO IMOBILIÁRIA RESIDENCIAL - PROJETO CASA IDEAL #04/2022	730 dias	1000.000000	189.0% CDI	NaN	False	CCB - INCORPORAÇÃO IMOBILIÁRIA RESIDENCIAL - PROJETO CASA IDEAL #04/2022	No vencimento	False	False	189.00	Vencimento	No vencimento	NaN	NaN	1000.000000	Hurst Capital	0	Hurst Capital	False	Fintech	False	True	https://hurst.capital/operation/60350e38-8cb4-4fa3-83d3-25cd18491474	P	15.0	93.04	730	503	0.095989	2.0352	27.35	62.03	52.72	0.084222	1.78	23.63	1620.27	1527.23	527.23	52.72	CDI	0.0181	9.52	1095.19	LCI/LCA 160.65% CDI	27.35	150000.0	189.00	['linear-gradient(135deg, #474747 0%,#000000 100%)']	['hurst.png']	NaN	NaN	NaN	NaN	NaN
5	{'$oid': '6325e0f59491f55d25c880cc'}	ATIVO REAL	ACERVO JJ - MULHERES CONCRETAS #03/2022	547 dias	10000.000000	163.6% CDI	NaN	False	ACERVO JJ - MULHERES CONCRETAS #03/2022	No vencimento	False	False	163.60	Vencimento	No vencimento	NaN	NaN	10000.000000	Hurst Capital	0	Hurst Capital	False	Fintech	False	True	https://hurst.capital/operation/73620874-ecac-431d-862a-8f542c225b09	P	17.5	639.47	547	375	0.083089	1.7594	23.28	36.54	30.15	0.070289	1.49	19.37	13654.11	13014.64	3014.64	30.15	CDI	0.0181	7.01	10701.41	LCI/LCA 134.97% CDI	23.28	180000.0	163.60	['linear-gradient(135deg, #474747 0%,#000000 100%)']	['hurst.png']	NaN	NaN	NaN	NaN	NaN
6	{'$oid': '62f1262520821896c213ad33'}	CDB	NaN	365 dias	10000.000000	IPCA +8.84%	NaN	False	BANCO BTG PACTUAL	No vencimento	False	NaN	8.84	NaN	Sem carência	NaN	NaN	10000.000000	Banco Safra	25	Safra	False	Banco	False	NaN	NaN	P	17.5	359.27	365	251	0.074421	1.5745	20.62	20.53	16.94	0.062357	1.32	17.01	12052.98	11693.71	1693.71	16.94	IPCA	0.0167	4.28	10428.14	LCI/LCA IPCA + 7.29%	20.62	210000.0	8.84	['linear-gradient(135deg, #00003C 0%,#242947 100%)']	['safra.png']	NaN	NaN	NaN	NaN	NaN
7	{'$oid': '62f1262520821896c213ad10'}	CDB	NaN	365 dias	10000.000000	IPCA +8.8%	NaN	False	BANCO PAN	No vencimento	False	NaN	8.80	NaN	Sem carência	NaN	NaN	10000.000000	Banco Safra	25	Safra	False	Banco	False	NaN	NaN	P	17.5	358.50	365	251	0.074275	1.5714	20.58	20.49	16.90	0.062232	1.32	16.97	12048.57	11690.07	1690.07	16.90	IPCA	0.0167	4.28	10428.14	LCI/LCA IPCA + 7.26%	20.58	210000.0	8.80	['linear-gradient(135deg, #00003C 0%,#242947 100%)']	['safra.png']	NaN	NaN	NaN	NaN	NaN
8	{'$oid': '632480fb02b43e2511270f81'}	CDB	NaN	105 dias	1083.532482	IPCA +10.5%	NaN	False	BANCO PAN	No Vencimento	False	False	10.50	NaN	Sem carência	brAAA	S&P	1083.532482	Rico	25	Rico	False	Corretora	False	NaN	NaN	S	22.5	13.12	105	72	0.072850	1.5411	20.14	5.38	4.17	0.056784	1.20	15.38	1141.86	1128.74	45.20	4.17	IPCA	0.0181	1.31	1097.73	LCI/LCA IPCA + 8.14%	20.14	240000.0	10.50	['linear-gradient(135deg, #030441 0%,#0e0e70 100%)']	['rico.png']	bancario	NaN	NaN	NaN	NaN
9	{'$oid': '632480fb02b43e2511270f82'}	CDB	NaN	127 dias	1069.874330	IPCA +10.5%	NaN	False	BANCO PAN	No Vencimento	False	False	10.50	NaN	Sem carência	brAAA	S&P	1069.874330	Rico	25	Rico	False	Corretora	False	NaN	NaN	S	22.5	15.93	127	88	0.072850	1.5411	20.14	6.62	5.13	0.056857	1.20	15.40	1140.68	1124.75	54.88	5.13	IPCA	0.0181	1.60	1087.03	LCI/LCA IPCA + 8.14%	20.14	230000.0	10.50	['linear-gradient(135deg, #030441 0%,#0e0e70 100%)']	['rico.png']	bancario	NaN	NaN	NaN	NaN

Last rows

	_id	tipo	subtipo	vencimento	qtdMinima	taxa	msg_patrocinado	patrocinado	emissor	liquidez	incentivada	qualificado	juros	amortizacao	carencia	rating	agencia	preco	corretora	nr	a	investir	tp_d	chat	enable_popup	url	tp_mercado	tir	dc	du	rbd	rbm	rld	vb	vl	idx	rpd	rpp	vpp	teq	am	total	cores	logo	rico_tipo	xp_tipo	cod_cetip	escalonado	avista_id
12530	{'$oid': '6324d2410580e99d15bf8dfb'}	LCI	NaN	720 dias	250000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	720 dias	A-	Fitch	250000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	720	494	0.00000	0.0000	0.000000	250000.0	250000.0	CDI	0.0181	9.34	273352.82	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12531	{'$oid': '6324d2410580e99d15bf8dfc'}	LCI	NaN	720 dias	500000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	720 dias	A-	Fitch	500000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	720	494	0.00000	0.0000	0.000000	500000.0	500000.0	CDI	0.0181	9.34	546705.64	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12532	{'$oid': '6324d2410580e99d15bf8dfd'}	LCI	NaN	720 dias	750000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	720 dias	A-	Fitch	750000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	720	494	0.00000	0.0000	0.000000	750000.0	750000.0	CDI	0.0181	9.34	820058.46	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12533	{'$oid': '6324d2410580e99d15bf8dfe'}	LCI	NaN	720 dias	1000000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	720 dias	A-	Fitch	1000000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	720	494	0.00000	0.0000	0.000000	1000000.0	1000000.0	CDI	0.0181	9.34	1093411.28	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12534	{'$oid': '6324d2410580e99d15bf8e18'}	LCI	NaN	360 dias	50.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	360 dias	A-	Fitch	50.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	S	0.0	360	246	0.00000	0.0000	0.000000	50.0	50.0	CDI	0.0181	4.55	52.27	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12535	{'$oid': '6324d2410580e99d15bf8e19'}	LCI	NaN	360 dias	250000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	360 dias	A-	Fitch	250000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	360	246	0.00000	0.0000	0.000000	250000.0	250000.0	CDI	0.0181	4.55	261368.52	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12536	{'$oid': '6324d2410580e99d15bf8e1a'}	LCI	NaN	360 dias	500000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	360 dias	A-	Fitch	500000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	360	246	0.00000	0.0000	0.000000	500000.0	500000.0	CDI	0.0181	4.55	522737.03	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12537	{'$oid': '6324d2410580e99d15bf8e1b'}	LCI	NaN	360 dias	750000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	360 dias	A-	Fitch	750000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	360	246	0.00000	0.0000	0.000000	750000.0	750000.0	CDI	0.0181	4.55	784105.55	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12538	{'$oid': '6324d2410580e99d15bf8e1c'}	LCI	NaN	360 dias	1000000.0	0.0% CDI	NaN	False	BANCO INTER	No Vencimento	False	False	0.00	Vencimento	360 dias	A-	Fitch	1000000.0	Banco Inter	19	Banco Inter	False	Banco	False	NaN	NaN	P	0.0	360	246	0.00000	0.0000	0.000000	1000000.0	1000000.0	CDI	0.0181	4.55	1045474.07	CDB 0.0% CDI	250000.0	0.00	['linear-gradient(135deg, #ff5122 1%,#ff881b 100%)']	['inter.png']	NaN	NaN	NaN	NaN	NaN
12539	{'$oid': '6325375055c20d5626f1aee5'}	CDB	NaN	91 dias	500.0	0.02% CDI	NaN	False	BANCO MASTER	No vencimento	False	False	0.02	Vencimento	91 dias dias	BBB-	Fitch	500.0	Nova Futura	16	Nova Futura	False	Corretora	False	NaN	NaN	P	22.5	91	62	0.00001	0.0002	0.000008	500.0	500.0	CDI	0.0181	1.13	505.64	LCI/LCA 0.02% CDI	250000.0	0.02	['linear-gradient(135deg, #005e77 1%,#007298 100%)']	['novafutura.png']	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation

Space Separator

Close Punctuation

Currency Symbol

Open Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Math Symbol

Most occurring scripts